North County Transit District
Oceanside, California
DESCRIPTION Under oversight from the Director of Security, the Manager of Security assists with planning and managing administrative, personnel, and training activities within the North County Transit District's (NCTD's) Security Department. This position is also responsible for assisting with implementation of the District's emergency management and continuity of operations programs. Distinguishing Characteristics The Manager of Security is charged with supporting NCTD's efforts to provide a safe and secure environment for employees, customers and the general public while meeting all applicable district-wide, local, state and federal requirements associated with bus, paratransit, hybrid rail, commuter rail, and contractor security and emergency management programs/projects. Supervision Received and Exercised This position reports to the Director of Security. This position works in collaboration with internal and external resources to accomplish district-wide and department goals and objectives. This position has direct oversight for the Control Center Technicians and may assist with oversight for the Code Compliance Inspectors upon request from the Director. Further, this position is expected to participate in the sharing of expert knowledge and as a vital member of various project teams that may be instituted. Working Conditions Normal working conditions for this position are in both an office and field setting. Business travel may be required periodically between district sites, governmental agencies, consultants' facilities, and other locations as required. The Security Department operates on a 24/7/365 basis. The individual in this position must be available outside of regular business hours, including evenings, weekends and holidays, as needed for operational, instructional, and/or emergency support. This position must be able work at multiple sites and needs to work shifts around the clock to provide adequate oversight of direct reports. EXAMPLES OF DUTIES Essential Functions Duties may include, but are not limited to, the following: Implements procedures for security monitoring staff, which result in an overall positive environment for customers while fostering a safe and secure environment for NCTD facilities and assets. Manages and ensures the effective daily operation of the Monitoring Center. Conducts research into incidents and investigations regarding possible security matters, ordinance violations and criminal activity on NCTD's modes, in transit centers, at stops, at stations, and among NCTD direct and contractor employees. Compiles and manages NCTD's internal security data as well as relevant data from external sources as directed by the Director. Conducts and documents the findings from routine field visits to transit stations/centers to obtain first-hand information on the current security status, including identification of opportunities for improvement and/or recommendations to the Director on law enforcement focus. Trains District staff and contractors on NCTD's system security and emergency management programs, projects, and plans upon request from the Director. Plans, coordinates, and executes security and emergency training drills and exercises with staff, contractors, and outside emergency responders as directed by the Director. Supports compliance with all NCTD Ordinances, as approved by the Board of Directors, for enforcement on all NCTD properties, facilities, and modes of services as directed by the Director. Issue warning and/or citations for violations of NCTD ordinances and other applicable rules and regulations. Manages the District's electronic facility access program to ensure staff and contractor roster is current and that access permissions are appropriate based on individual position roles and responsibilities. Produces and delivers various reports and research data as needed. Collaborates with other District staff on various inter-departmental programs/projects as assigned by the Director. Hires, trains, supervises, reviews, disciplines, and terminates subordinate staff as needed and in accordance with District policy and applicable Union Agreements. Stays abreast of federal, state, and local laws, emerging security trends. Serves as a member of the District's emergency response team. Respond to incidents as directed by the Director or as otherwise required by NCTD response and recovery procedures; may be required to respond outside of regular work schedule. Perform other related duties as assigned. QUALIFICATIONS Education/Experience A Bachelor's Degree in public safety, homeland security, physical security, emergency management, or a related field. Minimum of five (5) years prior directly relevant experience, including two (2) years of supervisory experience. Prior experience with public transit or equivalent experience in a similar private or government sector environment strongly desired. A combination of experience/skills and education to fulfill the requisite knowledge, skills and abilities for this position may be considered. Certificates/Licenses Possess and maintain a California driver license, Class C, with less than 6 points in the preceding 36-month period and no DUIs in the preceding seven (7) year period. Maintain compliance with the District's policies regarding Conflict of Interest and Ethics. Candidates must complete the POST 832 PC Certified Course in Laws of Arrest prior to hire or within the first 6 months of employment. Must be able to obtain and maintain annual access to Marine Corp Base Camp Pendleton. Must be able to become RWP Qualified on NCTD owned railroad properties. Able to obtain Transit Safety and Security Professional (TSSP) Certification. General Requirements Knowledge of current customer service-oriented security management best practices and implementation methods, including development of a customer service-oriented culture within security and enforcement organizations. Knowledge of principles, practices, and procedures of security administration and investigation; familiarity with physical security and monitoring systems. Knowledge of criminal laws, codes and ordinances and court interpretations, including rights of citizens. Working knowledge of principles, practices, and procedures of emergency management. Able to create and maintain good working relationships with individuals of varying level of responsibility and from various socio-economic, cultural, and ethnic backgrounds through excellent communication, teambuilding, and customer service skills. Strong written and oral communication skills. Strong analytical and critical thinking skills; ability to gather, organize, analyze and present data to appropriate sources, ability to interpret and apply local, state, and federal rules and regulations accurately and effectively. A professional level of expertise in multiple areas and demonstrated use of high-level discretion and judgment in execution of duties is preferred. Must be able to manage and maintain simultaneous, transitional, and emerging priorities. Demonstrated proficiency in computer software programs and applications including Microsoft Office Suite. Able to respond in-person to critical incidents, events, and emergencies on any shift and under any weather or time-of-day circumstances within a 60-minute response time from notification. SUPPLEMENTAL INFORMATION Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The employee must possess the ability to use the phone and computer for extended periods, manual dexterity to complete clerical functions and work with office equipment, and lift equipment up to 25 pounds on a periodic basis. The employee must be able to hear, see, and communicate verbally to exchange information. The employee must be able to physically travel between district locations and other destinations, work in evenings when required, work in hazardous conditions, and negotiate a variety of different and irregular terrain as is typical along a railway right of way. The employee may be subject to fumes, odors, dusts, gases, chemicals. The employee must be able to walk, climb, balance, bend, carry, push, reach, sit, and stand. Machines / Tools / Equipment Ability to operate a personal computer and Microsoft Office Suite programs. Ability to operate standard office equipment, including a fax and scanner machine, copy machine, and telephone. Ability to operate closed circuit television equipment, two-way radios, and public address systems. Ability to carry and operate a mobile on-call device.
03/29/2024
Full time
DESCRIPTION Under oversight from the Director of Security, the Manager of Security assists with planning and managing administrative, personnel, and training activities within the North County Transit District's (NCTD's) Security Department. This position is also responsible for assisting with implementation of the District's emergency management and continuity of operations programs. Distinguishing Characteristics The Manager of Security is charged with supporting NCTD's efforts to provide a safe and secure environment for employees, customers and the general public while meeting all applicable district-wide, local, state and federal requirements associated with bus, paratransit, hybrid rail, commuter rail, and contractor security and emergency management programs/projects. Supervision Received and Exercised This position reports to the Director of Security. This position works in collaboration with internal and external resources to accomplish district-wide and department goals and objectives. This position has direct oversight for the Control Center Technicians and may assist with oversight for the Code Compliance Inspectors upon request from the Director. Further, this position is expected to participate in the sharing of expert knowledge and as a vital member of various project teams that may be instituted. Working Conditions Normal working conditions for this position are in both an office and field setting. Business travel may be required periodically between district sites, governmental agencies, consultants' facilities, and other locations as required. The Security Department operates on a 24/7/365 basis. The individual in this position must be available outside of regular business hours, including evenings, weekends and holidays, as needed for operational, instructional, and/or emergency support. This position must be able work at multiple sites and needs to work shifts around the clock to provide adequate oversight of direct reports. EXAMPLES OF DUTIES Essential Functions Duties may include, but are not limited to, the following: Implements procedures for security monitoring staff, which result in an overall positive environment for customers while fostering a safe and secure environment for NCTD facilities and assets. Manages and ensures the effective daily operation of the Monitoring Center. Conducts research into incidents and investigations regarding possible security matters, ordinance violations and criminal activity on NCTD's modes, in transit centers, at stops, at stations, and among NCTD direct and contractor employees. Compiles and manages NCTD's internal security data as well as relevant data from external sources as directed by the Director. Conducts and documents the findings from routine field visits to transit stations/centers to obtain first-hand information on the current security status, including identification of opportunities for improvement and/or recommendations to the Director on law enforcement focus. Trains District staff and contractors on NCTD's system security and emergency management programs, projects, and plans upon request from the Director. Plans, coordinates, and executes security and emergency training drills and exercises with staff, contractors, and outside emergency responders as directed by the Director. Supports compliance with all NCTD Ordinances, as approved by the Board of Directors, for enforcement on all NCTD properties, facilities, and modes of services as directed by the Director. Issue warning and/or citations for violations of NCTD ordinances and other applicable rules and regulations. Manages the District's electronic facility access program to ensure staff and contractor roster is current and that access permissions are appropriate based on individual position roles and responsibilities. Produces and delivers various reports and research data as needed. Collaborates with other District staff on various inter-departmental programs/projects as assigned by the Director. Hires, trains, supervises, reviews, disciplines, and terminates subordinate staff as needed and in accordance with District policy and applicable Union Agreements. Stays abreast of federal, state, and local laws, emerging security trends. Serves as a member of the District's emergency response team. Respond to incidents as directed by the Director or as otherwise required by NCTD response and recovery procedures; may be required to respond outside of regular work schedule. Perform other related duties as assigned. QUALIFICATIONS Education/Experience A Bachelor's Degree in public safety, homeland security, physical security, emergency management, or a related field. Minimum of five (5) years prior directly relevant experience, including two (2) years of supervisory experience. Prior experience with public transit or equivalent experience in a similar private or government sector environment strongly desired. A combination of experience/skills and education to fulfill the requisite knowledge, skills and abilities for this position may be considered. Certificates/Licenses Possess and maintain a California driver license, Class C, with less than 6 points in the preceding 36-month period and no DUIs in the preceding seven (7) year period. Maintain compliance with the District's policies regarding Conflict of Interest and Ethics. Candidates must complete the POST 832 PC Certified Course in Laws of Arrest prior to hire or within the first 6 months of employment. Must be able to obtain and maintain annual access to Marine Corp Base Camp Pendleton. Must be able to become RWP Qualified on NCTD owned railroad properties. Able to obtain Transit Safety and Security Professional (TSSP) Certification. General Requirements Knowledge of current customer service-oriented security management best practices and implementation methods, including development of a customer service-oriented culture within security and enforcement organizations. Knowledge of principles, practices, and procedures of security administration and investigation; familiarity with physical security and monitoring systems. Knowledge of criminal laws, codes and ordinances and court interpretations, including rights of citizens. Working knowledge of principles, practices, and procedures of emergency management. Able to create and maintain good working relationships with individuals of varying level of responsibility and from various socio-economic, cultural, and ethnic backgrounds through excellent communication, teambuilding, and customer service skills. Strong written and oral communication skills. Strong analytical and critical thinking skills; ability to gather, organize, analyze and present data to appropriate sources, ability to interpret and apply local, state, and federal rules and regulations accurately and effectively. A professional level of expertise in multiple areas and demonstrated use of high-level discretion and judgment in execution of duties is preferred. Must be able to manage and maintain simultaneous, transitional, and emerging priorities. Demonstrated proficiency in computer software programs and applications including Microsoft Office Suite. Able to respond in-person to critical incidents, events, and emergencies on any shift and under any weather or time-of-day circumstances within a 60-minute response time from notification. SUPPLEMENTAL INFORMATION Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The employee must possess the ability to use the phone and computer for extended periods, manual dexterity to complete clerical functions and work with office equipment, and lift equipment up to 25 pounds on a periodic basis. The employee must be able to hear, see, and communicate verbally to exchange information. The employee must be able to physically travel between district locations and other destinations, work in evenings when required, work in hazardous conditions, and negotiate a variety of different and irregular terrain as is typical along a railway right of way. The employee may be subject to fumes, odors, dusts, gases, chemicals. The employee must be able to walk, climb, balance, bend, carry, push, reach, sit, and stand. Machines / Tools / Equipment Ability to operate a personal computer and Microsoft Office Suite programs. Ability to operate standard office equipment, including a fax and scanner machine, copy machine, and telephone. Ability to operate closed circuit television equipment, two-way radios, and public address systems. Ability to carry and operate a mobile on-call device.
Company: US1985 Greco Concord South California Zip Code: 91761 Minimum Level of Education: High School or Equivalent Minimum Years of Experience: 1 Year Employment Type: Full Time Travel Percentage: Compensation Range: $16.83 - $25.29 The compensation range provided is in compliance with state specific laws. Factors that may be used to determine your actual rate of pay include your specific skills, years of experience and other factors. BENEFITS INFORMATION: For information on Sysco's Benefits, please visit SUMMARY Performs timely and accurate cycle counts of inventory, completes correct inventory adjustments and performs inventory control activities for the purpose of maintaining accuracy at the item and location level. Performs all duties safely, accurately and meets set productivity goals. ESSENTIAL DUTIES AND RESPONSIBILITIES Perform quarterly cycle counting of inventory to ensure accuracy of perpetual inventory including product information (lot tracking and date integrity), product condition (damage/spoilage), stock location (mis-picks), proper location and pick slotting and any other inventory status specification. Make accurate cycle count adjustments in the Warehouse Management System (WMS) as required to provide correct information for planning and evaluation activities. Communicate detailed information for any potential loss of inventory (expiration, temp issues, etc.) to Manager, Inventory Control or Director, Warehouse Operations to ensure timely action on volatile inventory. Correct any product found in the incorrect storage location during cycle counts, complete a Quality Incident Packet indicating the associate who mis-located the product and provide to operations for associate follow up. Research Lost Pallet Report and identify reason and validity of loss through a physical search of the warehouse. Determine required inventory adjustment and input data into WMS to provide accurate information for planning and evaluation activities. Complete a thorough review of product activity in WMS, RDC SUS, the opco incident database, and the regional adjustments database to ensure accuracy of the net position. Retrieve, research and put away stray product. Pull, process, load and complete outbound returns, donations, recalls, salvages and any other outbound product shipments as required. Research catch weights on questionable receiving identified by the Administration Department, report data to the Administration staff to provide accurate information. Review Overage, Shortage and Damage Forms (OS&D Form) completed by receivers for completeness and accuracy. Approve OS&D Forms after verification of information for accuracy and completeness. Retrieve shelf life, product lot, product expiration data listed on the Short Shelf Life Report and the Received with Less Than Required Shelf Life Report and communicates to as appropriate. Work effectively with immediate supervisor and operations to minimize warehouse shrink (product loss). Responsible for the neatness and cleanliness of assigned work area. Report any safety issues to supervisor. Observe and enforce all safety rules to eliminate accidents and injuries. Operate appropriate material handling equipment (MHE), such as forklifts, stock pickers and pallet jacks in a safe and orderly manner to eliminate accidents and injuries. Ensure that MHE is maintained (perform daily inspection) and clean, report repair or service needs to supervisor to minimize equipment damage and down time. Use warehouse computers and RF equipment in a safe and professional manner. Understand and comply with all applicable company policies (i.e. attendance, Code of Business Conduct & Ethics, Associate Handbook, etc. Comply with all applicable State/Federal laws, regulations and policies (i.e. OSHA, HACCP, BRC, etc.). Supports food safety policies, standard operating procedures, and prerequisite food safety control programs that meet legal and quality requirements and industry best practices as defined in our Food Safety Commitment documentation. Accept additional responsibilities as requested. Other duties may be assigned. SUPERVISORY RESPONSIBILITIES None QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be at least 18 years of age. Must pass a physical assessment. Must have intermediate math and proficient computer skills including Microsoft Office (Word, Excel, and Outlook) suite. Must have excellent written and verbal communication skills. Must have a strong attention to detail. EDUCATION AND EXPERIENCE High school diploma or General Education Degree (GED) preferred or one year warehouse related experience and/or training or equivalent combination of education and experience. LANGUAGE SKILLS Must have ability to read and interpret documents such as safety rules, operating and maintenance instructions and procedure manuals. Must have the ability to write routine reports and correspondence. Must have the ability to speak effectively in one-on-one and small group situations. MATHEMATICAL SKILLS Must have the ability to add, subtract, multiply and divide in all units of measure, using whole numbers, common fractions, and decimals. REASONING ABILITY Must have the ability to define problems, collect data, establish facts and draw valid conclusions. CERTIFICATES, LICENSES, REGISTRATIONS Certification on material handling equipment is required, or the ability to become certified. PHYSICAL REQUIREMENTS OF THE POSITION The working conditions and physical demands described are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. An individual should contact his or her supervisor or the Human Resources Department if he or she believes that an accommodation is needed. While performing the duties of this job, the associate is regularly required to use hands and fingers to operate a computer keyboard and mouse, hands to finger, handle or feel objects, tools, or controls, stoop, kneel, crouch or sit. The associate is frequently required to stand, walk, reach with hands and arms, climb or balance, and talk and hear. The associate must frequently lift and/or move up to 40 pounds, occasionally lift and/or move between 41 and 50 pounds, and seldom lift and/or move 51 pounds and up to 100 pounds. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and ability to adjust focus. WORK ENVIRONMENT The work environment characteristics described here are representative of those an associate encounters while performing the essential functions of this job. Job is performed in a warehouse/operations environment. While performing the duties of this job, the associate is frequently exposed to fast moving material handling equipment or other mechanical equipment, extreme cold or heat, and freezer/cooler warehouse environments. The noise level in the work environment usually is loud. WORK HOURS This is a full-time position. The incumbent must have the ability to work a varying schedule which might include shift work (days or nights), weekdays or weekends, and some holidays. Work hours may vary or change based on customer order or departmental requirements. TRAVEL The position does not require travel. The above statement reflects the general details necessary to describe the principal functions of the occupation described and shall not be construed as a detailed description of all the work requirements that may be inherent in the occupation. OVERVIEW: Sysco is the global leader in foodservice distribution. With over 71,000 colleagues and a fleet of over 13,000 vehicles, Sysco operates approximately 333 distribution facilities worldwide and serves more than 700,000 customer locations. We offer our colleagues the opportunity to grow personally and professionally, to contribute to the success of a dynamic organization, and to serve others in a manner that exceeds their expectations. We're looking for talented, hard-working individuals to join our team. Come grow with us and let us show you why Sysco is at the heart of food and service. AFFIRMATIVE ACTION STATEMENT: Applicants must be currently authorized to work in the United States. We are proud to be an Equal Opportunity and Affirmative Action employer, and consider qualified applicants without regard to race, color, creed, religion, ancestry, national origin, sex, sexual orientation, gender identity, age, disability, veteran status or any other protected factor under federal, state or local law. This opportunity is available through Sysco Corporation, its subsidiaries and affiliates.
03/28/2024
Full time
Company: US1985 Greco Concord South California Zip Code: 91761 Minimum Level of Education: High School or Equivalent Minimum Years of Experience: 1 Year Employment Type: Full Time Travel Percentage: Compensation Range: $16.83 - $25.29 The compensation range provided is in compliance with state specific laws. Factors that may be used to determine your actual rate of pay include your specific skills, years of experience and other factors. BENEFITS INFORMATION: For information on Sysco's Benefits, please visit SUMMARY Performs timely and accurate cycle counts of inventory, completes correct inventory adjustments and performs inventory control activities for the purpose of maintaining accuracy at the item and location level. Performs all duties safely, accurately and meets set productivity goals. ESSENTIAL DUTIES AND RESPONSIBILITIES Perform quarterly cycle counting of inventory to ensure accuracy of perpetual inventory including product information (lot tracking and date integrity), product condition (damage/spoilage), stock location (mis-picks), proper location and pick slotting and any other inventory status specification. Make accurate cycle count adjustments in the Warehouse Management System (WMS) as required to provide correct information for planning and evaluation activities. Communicate detailed information for any potential loss of inventory (expiration, temp issues, etc.) to Manager, Inventory Control or Director, Warehouse Operations to ensure timely action on volatile inventory. Correct any product found in the incorrect storage location during cycle counts, complete a Quality Incident Packet indicating the associate who mis-located the product and provide to operations for associate follow up. Research Lost Pallet Report and identify reason and validity of loss through a physical search of the warehouse. Determine required inventory adjustment and input data into WMS to provide accurate information for planning and evaluation activities. Complete a thorough review of product activity in WMS, RDC SUS, the opco incident database, and the regional adjustments database to ensure accuracy of the net position. Retrieve, research and put away stray product. Pull, process, load and complete outbound returns, donations, recalls, salvages and any other outbound product shipments as required. Research catch weights on questionable receiving identified by the Administration Department, report data to the Administration staff to provide accurate information. Review Overage, Shortage and Damage Forms (OS&D Form) completed by receivers for completeness and accuracy. Approve OS&D Forms after verification of information for accuracy and completeness. Retrieve shelf life, product lot, product expiration data listed on the Short Shelf Life Report and the Received with Less Than Required Shelf Life Report and communicates to as appropriate. Work effectively with immediate supervisor and operations to minimize warehouse shrink (product loss). Responsible for the neatness and cleanliness of assigned work area. Report any safety issues to supervisor. Observe and enforce all safety rules to eliminate accidents and injuries. Operate appropriate material handling equipment (MHE), such as forklifts, stock pickers and pallet jacks in a safe and orderly manner to eliminate accidents and injuries. Ensure that MHE is maintained (perform daily inspection) and clean, report repair or service needs to supervisor to minimize equipment damage and down time. Use warehouse computers and RF equipment in a safe and professional manner. Understand and comply with all applicable company policies (i.e. attendance, Code of Business Conduct & Ethics, Associate Handbook, etc. Comply with all applicable State/Federal laws, regulations and policies (i.e. OSHA, HACCP, BRC, etc.). Supports food safety policies, standard operating procedures, and prerequisite food safety control programs that meet legal and quality requirements and industry best practices as defined in our Food Safety Commitment documentation. Accept additional responsibilities as requested. Other duties may be assigned. SUPERVISORY RESPONSIBILITIES None QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be at least 18 years of age. Must pass a physical assessment. Must have intermediate math and proficient computer skills including Microsoft Office (Word, Excel, and Outlook) suite. Must have excellent written and verbal communication skills. Must have a strong attention to detail. EDUCATION AND EXPERIENCE High school diploma or General Education Degree (GED) preferred or one year warehouse related experience and/or training or equivalent combination of education and experience. LANGUAGE SKILLS Must have ability to read and interpret documents such as safety rules, operating and maintenance instructions and procedure manuals. Must have the ability to write routine reports and correspondence. Must have the ability to speak effectively in one-on-one and small group situations. MATHEMATICAL SKILLS Must have the ability to add, subtract, multiply and divide in all units of measure, using whole numbers, common fractions, and decimals. REASONING ABILITY Must have the ability to define problems, collect data, establish facts and draw valid conclusions. CERTIFICATES, LICENSES, REGISTRATIONS Certification on material handling equipment is required, or the ability to become certified. PHYSICAL REQUIREMENTS OF THE POSITION The working conditions and physical demands described are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. An individual should contact his or her supervisor or the Human Resources Department if he or she believes that an accommodation is needed. While performing the duties of this job, the associate is regularly required to use hands and fingers to operate a computer keyboard and mouse, hands to finger, handle or feel objects, tools, or controls, stoop, kneel, crouch or sit. The associate is frequently required to stand, walk, reach with hands and arms, climb or balance, and talk and hear. The associate must frequently lift and/or move up to 40 pounds, occasionally lift and/or move between 41 and 50 pounds, and seldom lift and/or move 51 pounds and up to 100 pounds. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and ability to adjust focus. WORK ENVIRONMENT The work environment characteristics described here are representative of those an associate encounters while performing the essential functions of this job. Job is performed in a warehouse/operations environment. While performing the duties of this job, the associate is frequently exposed to fast moving material handling equipment or other mechanical equipment, extreme cold or heat, and freezer/cooler warehouse environments. The noise level in the work environment usually is loud. WORK HOURS This is a full-time position. The incumbent must have the ability to work a varying schedule which might include shift work (days or nights), weekdays or weekends, and some holidays. Work hours may vary or change based on customer order or departmental requirements. TRAVEL The position does not require travel. The above statement reflects the general details necessary to describe the principal functions of the occupation described and shall not be construed as a detailed description of all the work requirements that may be inherent in the occupation. OVERVIEW: Sysco is the global leader in foodservice distribution. With over 71,000 colleagues and a fleet of over 13,000 vehicles, Sysco operates approximately 333 distribution facilities worldwide and serves more than 700,000 customer locations. We offer our colleagues the opportunity to grow personally and professionally, to contribute to the success of a dynamic organization, and to serve others in a manner that exceeds their expectations. We're looking for talented, hard-working individuals to join our team. Come grow with us and let us show you why Sysco is at the heart of food and service. AFFIRMATIVE ACTION STATEMENT: Applicants must be currently authorized to work in the United States. We are proud to be an Equal Opportunity and Affirmative Action employer, and consider qualified applicants without regard to race, color, creed, religion, ancestry, national origin, sex, sexual orientation, gender identity, age, disability, veteran status or any other protected factor under federal, state or local law. This opportunity is available through Sysco Corporation, its subsidiaries and affiliates.
Job Description Manages the design and implementation of one or more clinical development programs in support of an overall Product Development Plan, based on strong medical and scientific principles, knowledge of compliance and regulatory requirements, AbbVie's customers, markets, business operations, and emerging issues. Oversees project-related education of investigators, study site personnel, and AbbVie study staff. Has overall responsibility for oversight of clinical studies, monitoring overall study integrity, and review, interpretation, and communication of accumulating data pertaining to safety and efficacy of the molecule. Along with Clinical Operations, is responsible for oversight of study enrollment and overall timelines for key deliverables. Responsible for assessment and reporting of serious adverse events per corporate policy and regulations for those protocols on which assigned. Responsible for design, analysis, interpretation, and reporting of scientific content of protocols, Investigator Brochures, Clinical Study Reports, regulatory submissions and responses, and other program documents. May oversee the work of Associate Medical and/or Scientific Directors, and of Clinical Scientists working on the same or related programs. Provides in-house clinical expertise for the molecule and disease, coordinating appropriate scientific and medical activities with internal stakeholders as they relate to ongoing clinical projects. May participate in due diligence or other business development activity. As required by program needs, contributes in partnership with Discovery colleagues to design and implementation of translational strategies. May serve on or chair a Clinical Strategy Team (CST), with responsibility for development of a rigorous, cross-functionally-aligned, vetted Clinical Development Plan with full consideration of contingencies and alternative approaches. In the role of CST Chair, responsibilities may include supervision of matrix team members and serving as Clinical Research representative to lend clinical development and medical expertise to an Asset Development Team (ADT), ADT Leadership Board (ALB). Acts as a clinical interface and actively solicits opinion leader interactions related to the molecule and disease area; partners with Medical Affairs, Commercial and other functions in these activities as required, consistent with corporate policies, to ensure that broad cross-functional perspectives are incorporated into Clinical Development Plans and protocols as appropriate. Stays abreast of professional information and technology through conferences, medical literature, and other available training, to augment expertise in the therapeutic area. Responsible for understanding the regulatory requirements related to the clinical studies and global drug development and accountable for complying with those requirements. Serves as a clinical representative for key regulatory discussions. Ensures adherence to Good Clinical Practices, pharmacovigilance standards, standard operating procedures and to all other quality standards in conducting research.
03/28/2024
Full time
Job Description Manages the design and implementation of one or more clinical development programs in support of an overall Product Development Plan, based on strong medical and scientific principles, knowledge of compliance and regulatory requirements, AbbVie's customers, markets, business operations, and emerging issues. Oversees project-related education of investigators, study site personnel, and AbbVie study staff. Has overall responsibility for oversight of clinical studies, monitoring overall study integrity, and review, interpretation, and communication of accumulating data pertaining to safety and efficacy of the molecule. Along with Clinical Operations, is responsible for oversight of study enrollment and overall timelines for key deliverables. Responsible for assessment and reporting of serious adverse events per corporate policy and regulations for those protocols on which assigned. Responsible for design, analysis, interpretation, and reporting of scientific content of protocols, Investigator Brochures, Clinical Study Reports, regulatory submissions and responses, and other program documents. May oversee the work of Associate Medical and/or Scientific Directors, and of Clinical Scientists working on the same or related programs. Provides in-house clinical expertise for the molecule and disease, coordinating appropriate scientific and medical activities with internal stakeholders as they relate to ongoing clinical projects. May participate in due diligence or other business development activity. As required by program needs, contributes in partnership with Discovery colleagues to design and implementation of translational strategies. May serve on or chair a Clinical Strategy Team (CST), with responsibility for development of a rigorous, cross-functionally-aligned, vetted Clinical Development Plan with full consideration of contingencies and alternative approaches. In the role of CST Chair, responsibilities may include supervision of matrix team members and serving as Clinical Research representative to lend clinical development and medical expertise to an Asset Development Team (ADT), ADT Leadership Board (ALB). Acts as a clinical interface and actively solicits opinion leader interactions related to the molecule and disease area; partners with Medical Affairs, Commercial and other functions in these activities as required, consistent with corporate policies, to ensure that broad cross-functional perspectives are incorporated into Clinical Development Plans and protocols as appropriate. Stays abreast of professional information and technology through conferences, medical literature, and other available training, to augment expertise in the therapeutic area. Responsible for understanding the regulatory requirements related to the clinical studies and global drug development and accountable for complying with those requirements. Serves as a clinical representative for key regulatory discussions. Ensures adherence to Good Clinical Practices, pharmacovigilance standards, standard operating procedures and to all other quality standards in conducting research.
Job Description Description - External Envision working with energetic colleagues and inspirational leaders. Now, place yourself in that mix; leading discussions, asking the right questions, delivering scientific communications and driving results. This position can be based out of Irvine, CA or Marlow, UK. What Your New Manager Wants You To Know The Associate Director / Director, Global Body Contouring, Global Aesthetics Medical Affairs (GAMA) is a key strategic leader in the GAMA organization. Working under the leadership of the Executive Medical Director, Global Body Contouring, GAMA in partnership with key medical functional teams; the Associate Director / Director will assist in the development and implementation of comprehensive medical strategies for specific medical devices / products within the Body Contouring aesthetics portfolio. The Associate Director / Director must conduct their work activities in compliance with all AbbVie internal requirements and with all applicable regional regulatory requirements. AbbVie internal requirements include compliance with ethics, environmental health and safety, financial, human resources, and general business policies, requirements, and objectives. YOU ARE more than just a title, YOU ARE A global strategic thinker: align and excite internal stakeholders to facilitate success through strong leadership, strategic thinking and personal drive. First class team player: collaborate across multiple disciplines to ensure compliance and ability to influence cross-functional teams and senior leadership. You Will Strategic and Tactical Planning Develop and implement GAMA Global Body Contouring strategic and tactical plans. P articipate in pre-launch, launch and post-launch strategic decisions and delivery of medical tactics alongside providing medical expertise and scientific support to cross functional stakeholders. Measure and communicate progress on medical project milestones. Ensure alignment of medical functional teams supporting the Global Body Contouring strategic and tactical plans. Provide TA specific strategic guidance to the Global Body Contouring Medical Science Liaisons (MSLs). Lead on planning for and execution of medical advisory boards to inform current and future Allergan Aesthetic / AbbVie Medical Aesthetic strategic decisions. Contribute to commercial planning by leveraging medical/scientific expertise, knowledge of scientific data and understanding of the external healthcare environment. Advice and support commercial colleagues in the development of their marketing plans and scientific materials. Medical and Scientific Data Generation and Communication Under guidance from GAMA leadership, help develop and execute data generation plans (e.g. Phase 4) to provide post marketing data that supports the Body Contouring portfolio. Collaborate with the Global Scientific Communications team to contribute to robust Body Contouring publication plans. Collaborate with GAMA team members to identify key scientific content needed for field MSL teams. Internal and External Relationships Establish and maintain internal organizational links with the broader R&D, commercial and other Allergan Aesthetics / AbbVie departments to ensure appropriate support for GAMA. Establish and maintain relationships with top tier external experts in aesthetics to establish a strong scientific presence in the clinical and academic communities. Collaborate with the MSL teams to ensure external expert development and communication is optimized. Collaborate with Health Economic and Outcomes Research (HEOR) team to establish scientific and clinical credibility for clinical outcomes focused on patient reported outcomes. Assess support of external IIS proposals and concepts related to Body Contouring to ensure alignment with IIS priorities. Deliver portfolio-related clinical presentations as needed and participate in prioritized scientific congresses. Collect HCP and MSL insights to inform Allergan Aesthetics / AbbVie strategy (e.g. via advisory boards, strategic insights, field insight discussions).
03/28/2024
Full time
Job Description Description - External Envision working with energetic colleagues and inspirational leaders. Now, place yourself in that mix; leading discussions, asking the right questions, delivering scientific communications and driving results. This position can be based out of Irvine, CA or Marlow, UK. What Your New Manager Wants You To Know The Associate Director / Director, Global Body Contouring, Global Aesthetics Medical Affairs (GAMA) is a key strategic leader in the GAMA organization. Working under the leadership of the Executive Medical Director, Global Body Contouring, GAMA in partnership with key medical functional teams; the Associate Director / Director will assist in the development and implementation of comprehensive medical strategies for specific medical devices / products within the Body Contouring aesthetics portfolio. The Associate Director / Director must conduct their work activities in compliance with all AbbVie internal requirements and with all applicable regional regulatory requirements. AbbVie internal requirements include compliance with ethics, environmental health and safety, financial, human resources, and general business policies, requirements, and objectives. YOU ARE more than just a title, YOU ARE A global strategic thinker: align and excite internal stakeholders to facilitate success through strong leadership, strategic thinking and personal drive. First class team player: collaborate across multiple disciplines to ensure compliance and ability to influence cross-functional teams and senior leadership. You Will Strategic and Tactical Planning Develop and implement GAMA Global Body Contouring strategic and tactical plans. P articipate in pre-launch, launch and post-launch strategic decisions and delivery of medical tactics alongside providing medical expertise and scientific support to cross functional stakeholders. Measure and communicate progress on medical project milestones. Ensure alignment of medical functional teams supporting the Global Body Contouring strategic and tactical plans. Provide TA specific strategic guidance to the Global Body Contouring Medical Science Liaisons (MSLs). Lead on planning for and execution of medical advisory boards to inform current and future Allergan Aesthetic / AbbVie Medical Aesthetic strategic decisions. Contribute to commercial planning by leveraging medical/scientific expertise, knowledge of scientific data and understanding of the external healthcare environment. Advice and support commercial colleagues in the development of their marketing plans and scientific materials. Medical and Scientific Data Generation and Communication Under guidance from GAMA leadership, help develop and execute data generation plans (e.g. Phase 4) to provide post marketing data that supports the Body Contouring portfolio. Collaborate with the Global Scientific Communications team to contribute to robust Body Contouring publication plans. Collaborate with GAMA team members to identify key scientific content needed for field MSL teams. Internal and External Relationships Establish and maintain internal organizational links with the broader R&D, commercial and other Allergan Aesthetics / AbbVie departments to ensure appropriate support for GAMA. Establish and maintain relationships with top tier external experts in aesthetics to establish a strong scientific presence in the clinical and academic communities. Collaborate with the MSL teams to ensure external expert development and communication is optimized. Collaborate with Health Economic and Outcomes Research (HEOR) team to establish scientific and clinical credibility for clinical outcomes focused on patient reported outcomes. Assess support of external IIS proposals and concepts related to Body Contouring to ensure alignment with IIS priorities. Deliver portfolio-related clinical presentations as needed and participate in prioritized scientific congresses. Collect HCP and MSL insights to inform Allergan Aesthetics / AbbVie strategy (e.g. via advisory boards, strategic insights, field insight discussions).
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Director, Generative AI Platform - Agents and Tooling - People Leader (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, AI Platforms to help us build the foundations of our enterprise AI Capabilities. In this role you will work on developing generic platform services to support applications powered by Generative AI. You will develop SDKs and APIs to build agents, information retrieval and to build models as a service for powering generative AI workflows such as optimizing LLMs via RAG. Additionally you will manage end-to-end coordination with operations and manage creation of high quality curated datasets and productionizing of models along with working with applied research and product teams to identify and prioritize ongoing and upcoming services. Examples of what you'll do: Develop abstracted platform services to support applications powered by Generative AI Develop SDKs and APIs for our user community to power a wide range of applications such as information retrieval, fraud detection, AI Assistants, recommendations on our Gen AI platform. Design and build RAG service platform orchestrations including prompt engineering, guardrails, vector databases, API Grounding Build out a Prompt management service via cross organizational partnerships Stay up-to-date with latest advancements in operationalization of machine learning and GenAI Technologies Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 8 years of experience programming with Python, Go, Scala, or C/C++ At least 5 years of experience designing and building and deploying enterprise AI or ML applications. At least 3 years of experience implementing full lifecycle ML automation using MLOps(scalable development to deployment of complex data science workflows) At least 4 years of experience leading teams developing Machine Learning solutions At least 5 years of people management experience. At least 1 year with LLM based conversational AI systems Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Strong problem solving and analytical skills with the ability to work independently with ownership, and as a part of a team with a strong sense of responsibilities. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a Generative AI Platform. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, advanced RAG and fine-tuning. Experience working with applications that leverage LLMs and vertical integration with enterprise applications Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Director, Machine Learning Engineering Remote (Regardless of Location): $232,900 - $265,800 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
03/28/2024
Full time
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Director, Generative AI Platform - Agents and Tooling - People Leader (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, AI Platforms to help us build the foundations of our enterprise AI Capabilities. In this role you will work on developing generic platform services to support applications powered by Generative AI. You will develop SDKs and APIs to build agents, information retrieval and to build models as a service for powering generative AI workflows such as optimizing LLMs via RAG. Additionally you will manage end-to-end coordination with operations and manage creation of high quality curated datasets and productionizing of models along with working with applied research and product teams to identify and prioritize ongoing and upcoming services. Examples of what you'll do: Develop abstracted platform services to support applications powered by Generative AI Develop SDKs and APIs for our user community to power a wide range of applications such as information retrieval, fraud detection, AI Assistants, recommendations on our Gen AI platform. Design and build RAG service platform orchestrations including prompt engineering, guardrails, vector databases, API Grounding Build out a Prompt management service via cross organizational partnerships Stay up-to-date with latest advancements in operationalization of machine learning and GenAI Technologies Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 8 years of experience programming with Python, Go, Scala, or C/C++ At least 5 years of experience designing and building and deploying enterprise AI or ML applications. At least 3 years of experience implementing full lifecycle ML automation using MLOps(scalable development to deployment of complex data science workflows) At least 4 years of experience leading teams developing Machine Learning solutions At least 5 years of people management experience. At least 1 year with LLM based conversational AI systems Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Strong problem solving and analytical skills with the ability to work independently with ownership, and as a part of a team with a strong sense of responsibilities. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a Generative AI Platform. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, advanced RAG and fine-tuning. Experience working with applications that leverage LLMs and vertical integration with enterprise applications Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Director, Machine Learning Engineering Remote (Regardless of Location): $232,900 - $265,800 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
is seeking to hire a Senior Administrative Assistant for our client in San Diego, CA! Benefits Available! Weekly Pay! $29.00/Hour Shift:8:00am to 5:00pm Job Summary The Senior Administrative Assistant typically provides high skill level administrative support to include complex and confidential functions. The ideal candidate typically supports individuals with multi-departmental scope that may include Managers, Directors, and /or Vice Presidents. They may routinely work with confidential and highly sensitive information and handle confidential matters. Their work typically has department wide impact and involves coordination and support to management level individuals and/or an entire department with various administrative support responsibilities and projects. Job Duties - Some examples of the job duties may include: May greet visitors, answer and screen callers, take messages, and respond to inquiries and requests for routine problems. May supervise or give work direction to lower level clerical personnel and/ or act as the lead support in a large and busy departmental setting handling various internal and external responsibilities and projects. May serve as one of the principal contacts for the division/ department internally and externally. May maintain calendar, schedule appointments and engagements on behalf of the department head or large department to complete assigned tasks and projects of a complex nature, interpret administrative decisions and policies without prior clearance. May handle all arrangement details for meetings and conferences including catering, travel and lodging accommodations, setup of presentation materials and equipment and also coordinate special events. May order office supplies, monitor inventory and equipment and place service requests for service repairs. May sort and distribute department mail, prioritize and determine actions for all incoming correspondences. May compose and proof read documents for others, maintain and collect data for standard reports charts, graphs, spreadsheets and databases; organize and maintain department filing systems, relevant databases and related records. May assist with reconciling components of department budget, approving departmental expenditures, processing expense reports, and/or managing accounting records. May be responsible for overseeing and implementing change in office operations and ensure that equipment, materials and space are used effectively. May research complex and non-routine problems and inquiries that require interpretation of best practices on departmental policies/ procedures. Job Requirements Minimum of a High School Education and / or equivalent of four year plus of administrative support experience preferred. Business administration college degree preferred. Advanced MS Office skill level in MS Word, Excel, and PowerPoint as well as intermediate skill level in Access preferred. Ability to perform office tasks using simple hand grasping, fine hand manipulation and reach associated with assigned tasks such as paperwork, computer keyboarding, filing, and calculating preferred Must have a strong work ethic, excellent oral, verbal and written communication skills. Good interpersonal skills and ability to work well with senior level management preferred. Must have excellent organizational, prioritization and time management skills and be able to work on several projects simultaneously and take ownership of projects from start to finish; able to multi-task, good attention to detail and be able to easily adapt to change preferred. Outstanding telephone etiquette and professional business behavior preferred. Ability to handle confidential situations, use discretion and demonstrate good independent judgment within established procedural guidelines and integrity preferred. Must be able to work independently with minimum supervision. Must be willing to promote a positive work environment.
03/28/2024
Contractor
is seeking to hire a Senior Administrative Assistant for our client in San Diego, CA! Benefits Available! Weekly Pay! $29.00/Hour Shift:8:00am to 5:00pm Job Summary The Senior Administrative Assistant typically provides high skill level administrative support to include complex and confidential functions. The ideal candidate typically supports individuals with multi-departmental scope that may include Managers, Directors, and /or Vice Presidents. They may routinely work with confidential and highly sensitive information and handle confidential matters. Their work typically has department wide impact and involves coordination and support to management level individuals and/or an entire department with various administrative support responsibilities and projects. Job Duties - Some examples of the job duties may include: May greet visitors, answer and screen callers, take messages, and respond to inquiries and requests for routine problems. May supervise or give work direction to lower level clerical personnel and/ or act as the lead support in a large and busy departmental setting handling various internal and external responsibilities and projects. May serve as one of the principal contacts for the division/ department internally and externally. May maintain calendar, schedule appointments and engagements on behalf of the department head or large department to complete assigned tasks and projects of a complex nature, interpret administrative decisions and policies without prior clearance. May handle all arrangement details for meetings and conferences including catering, travel and lodging accommodations, setup of presentation materials and equipment and also coordinate special events. May order office supplies, monitor inventory and equipment and place service requests for service repairs. May sort and distribute department mail, prioritize and determine actions for all incoming correspondences. May compose and proof read documents for others, maintain and collect data for standard reports charts, graphs, spreadsheets and databases; organize and maintain department filing systems, relevant databases and related records. May assist with reconciling components of department budget, approving departmental expenditures, processing expense reports, and/or managing accounting records. May be responsible for overseeing and implementing change in office operations and ensure that equipment, materials and space are used effectively. May research complex and non-routine problems and inquiries that require interpretation of best practices on departmental policies/ procedures. Job Requirements Minimum of a High School Education and / or equivalent of four year plus of administrative support experience preferred. Business administration college degree preferred. Advanced MS Office skill level in MS Word, Excel, and PowerPoint as well as intermediate skill level in Access preferred. Ability to perform office tasks using simple hand grasping, fine hand manipulation and reach associated with assigned tasks such as paperwork, computer keyboarding, filing, and calculating preferred Must have a strong work ethic, excellent oral, verbal and written communication skills. Good interpersonal skills and ability to work well with senior level management preferred. Must have excellent organizational, prioritization and time management skills and be able to work on several projects simultaneously and take ownership of projects from start to finish; able to multi-task, good attention to detail and be able to easily adapt to change preferred. Outstanding telephone etiquette and professional business behavior preferred. Ability to handle confidential situations, use discretion and demonstrate good independent judgment within established procedural guidelines and integrity preferred. Must be able to work independently with minimum supervision. Must be willing to promote a positive work environment.
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Director, Generative AI Platform - Agents and Tooling - People Leader (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, AI Platforms to help us build the foundations of our enterprise AI Capabilities. In this role you will work on developing generic platform services to support applications powered by Generative AI. You will develop SDKs and APIs to build agents, information retrieval and to build models as a service for powering generative AI workflows such as optimizing LLMs via RAG. Additionally you will manage end-to-end coordination with operations and manage creation of high quality curated datasets and productionizing of models along with working with applied research and product teams to identify and prioritize ongoing and upcoming services. Examples of what you'll do: Develop abstracted platform services to support applications powered by Generative AI Develop SDKs and APIs for our user community to power a wide range of applications such as information retrieval, fraud detection, AI Assistants, recommendations on our Gen AI platform. Design and build RAG service platform orchestrations including prompt engineering, guardrails, vector databases, API Grounding Build out a Prompt management service via cross organizational partnerships Stay up-to-date with latest advancements in operationalization of machine learning and GenAI Technologies Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 8 years of experience programming with Python, Go, Scala, or C/C++ At least 5 years of experience designing and building and deploying enterprise AI or ML applications. At least 3 years of experience implementing full lifecycle ML automation using MLOps(scalable development to deployment of complex data science workflows) At least 4 years of experience leading teams developing Machine Learning solutions At least 5 years of people management experience. At least 1 year with LLM based conversational AI systems Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Strong problem solving and analytical skills with the ability to work independently with ownership, and as a part of a team with a strong sense of responsibilities. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a Generative AI Platform. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, advanced RAG and fine-tuning. Experience working with applications that leverage LLMs and vertical integration with enterprise applications Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Director, Machine Learning Engineering Remote (Regardless of Location): $232,900 - $265,800 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
03/28/2024
Full time
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Director, Generative AI Platform - Agents and Tooling - People Leader (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, AI Platforms to help us build the foundations of our enterprise AI Capabilities. In this role you will work on developing generic platform services to support applications powered by Generative AI. You will develop SDKs and APIs to build agents, information retrieval and to build models as a service for powering generative AI workflows such as optimizing LLMs via RAG. Additionally you will manage end-to-end coordination with operations and manage creation of high quality curated datasets and productionizing of models along with working with applied research and product teams to identify and prioritize ongoing and upcoming services. Examples of what you'll do: Develop abstracted platform services to support applications powered by Generative AI Develop SDKs and APIs for our user community to power a wide range of applications such as information retrieval, fraud detection, AI Assistants, recommendations on our Gen AI platform. Design and build RAG service platform orchestrations including prompt engineering, guardrails, vector databases, API Grounding Build out a Prompt management service via cross organizational partnerships Stay up-to-date with latest advancements in operationalization of machine learning and GenAI Technologies Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 8 years of experience programming with Python, Go, Scala, or C/C++ At least 5 years of experience designing and building and deploying enterprise AI or ML applications. At least 3 years of experience implementing full lifecycle ML automation using MLOps(scalable development to deployment of complex data science workflows) At least 4 years of experience leading teams developing Machine Learning solutions At least 5 years of people management experience. At least 1 year with LLM based conversational AI systems Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Strong problem solving and analytical skills with the ability to work independently with ownership, and as a part of a team with a strong sense of responsibilities. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a Generative AI Platform. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, advanced RAG and fine-tuning. Experience working with applications that leverage LLMs and vertical integration with enterprise applications Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Director, Machine Learning Engineering Remote (Regardless of Location): $232,900 - $265,800 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
California Institute of Integral Studies
San Francisco, California
Location: San Francisco, CA Category: Staff Positions Posted On: Fri Mar Job Description: The Associate Director of Web Strategy and Development plays a critical role as web strategist, technical developer, and design lead under the direction of the VP of Internal University Relations and Chief Marketing & Communications Officer of Strategic Communications and with the Strategic Communications & Relations team. Web Strategy The Associate Director works with CIIS leadership, marketers, analysts, admins, program managers, writers, video producers, and photographers to create a dynamic rich experience for visitors to the website. This role is responsible for innovative and strategic use of web platforms to showcase rich media and creative content of CIIS. They partner with stakeholders throughout the University to identify goals, set measurable objectives, gather requirements and implement the vision into digital reality. They also play a role in leveraging the University's holistic digital footprint within the context of CIIS' overall communications and marketing positioning strategy, including paid digital advertising, social media and email communications. This role enhances the reputation of CIIS, promotes its brand, and develops creative content across multiple platforms. Web Development The Associate Director is responsible for the design, development, delivery, administration, and management of CIIS' website. This position includes managing a small team of web developers and administrators, overseeing features and functionality; supporting the editor community; offering content strategy, user experience, and analytics consulting; ensuring accessibility compliance, and creating and upholding digital governance to impose clarity and consistency on the website. In addition to overseeing the website, they manage quality assurance initiatives for the web development team. ESSENTIAL DUTIES AND RESPONSIBILITIES Assisting VP and Directors in planning product roadmap and communicating milestone updates to stakeholders Leading technical design on new products and major product components Defining and documenting best practices for application development Supporting strategic initiatives through dialog with leadership teams Responsible for code accuracy, functionality, documentation, and improvement Conducting security reviews Task prioritization and guidance Guiding architecture decisions with other Marketing and Communications teams Facilitating communication between developers and instructional designers Working with University IT to ensure SSL certification Troubleshooting technical issues and code conflicts; serving as an emergency contact for triage of website issues Managing workflow of projects and setting development priorities; ensuring proper workflow processes are followed and verify task completion Ensuring the Web Services team is establishing and adhering to best practices for UX and graphic design Researching and remaining vigilant on adherence to WCAG standards Facilitating meetings, clarifying processes, brainstorming solutions, and assisting in conflict resolution Managing vendors and track budgets Technical mentoring Conducting performance reviews and tailoring training to fill individual skill gaps Job Requirements: MINIMUM QUALIFICATIONS Bachelor's degree and 6+ years of web development, including experience on large-scale web products; 2+ years managing a development team and technology vendors. Demonstrated success record with developing and managing websites. Excellent communication and interpersonal skills. Experience with Drupal. Clear understanding of web standards and usability methods. Excellent ability to explain technical features to a non-technical audience. Solid knowledge of web authoring and publishing tools. Expert knowledge of content management systems, including the ability to perform standard configuration. Ability to design and implement complex web services. Experience setting up development stack, including Docker, GIT, Drush, and Composer. In-depth knowledge of HTML, CSS, and related website development technologies and software. Clear understanding of web standards (e.g., WCAG), web design best practices, and usability methods. Knowledge of multimedia and design. Proficiency with relational database technology, SQL, Access, and Filemaker Pro. Working knowledge of office applications (e.g., Microsoft Word, Outlook, PowerPoint, Google Forms). Experience with versioning software (e.g., GIT). PREFERRED QUALIFICATIONS Prior experience working in a higher education and/or non-profit setting. Familiarity with programming and scripting languages (e.g., PHP). Understanding of relational database technology (e.g., MySQL). Strong proficiency in information architecture and content management. Experience designing and implementing A/B campaigns Willingness to learn new web-based technologies, including applications and programming languages. Familiarity with the Adobe Creative Cloud suite is a plus. LOCATION Hybrid or remote work possible. May work extended hours and weekends. Additional Information: WAGES AND BENEFITS Salary Range: $85,000 - $100,000 CIIS offers a comprehensive benefits package. NOTES TO CANDIDATE Background Check - Due to the sensitivity and requirements of this position, you should expect to undergo and be cleared of an employment background/criminal check, if extended an offer for employment. You may also be asked to provide proof of educational degree(s), licenses, or credentials pertinent to the position. If your job requires driving on behalf of CIIS you will be required to provide proof of a valid driver's license. Visa Sponsorship - Visa sponsorship is not available for this position. Applicants must currently be authorized to work in the United States for any employer. Relocation Assistance - This position is not eligible for relocation assistance. EQUAL EMPLOYMENT OPPORTUNITY POLICY CIIS strives to cultivate and preserve a culture of inclusion and belonging as part of its Seven Commitments. More than accept difference, we honor and celebrate our staff's diversity of experiences, perspectives, and identities. Together, our community creates and maintains working and learning environments that are inclusive, equitable, accessible, and welcoming. CIIS is proud to be an equal opportunity employer. We are committed to providing an open, fair, inclusive, non-discriminatory environment for all individuals across differences of race, religion, sexual orientation, gender identity, national origin, socio- economic status, ethnicity, age, physical ability, or medical condition. We seek to increase the presence, representation, and inclusion of U.S. historically under-represented people of color, international, bilingual, and bicultural students, faculty, and staff; and, to provide an environment that will attract and retain individuals identified as lesbian, gay, bisexual, transgender, queer, questioning and intersex (LGBTQQI+). CIIS is committed to compliance with all fair employment practices regarding citizenship and immigration status. PI00fc702ad01d-7822
03/27/2024
Full time
Location: San Francisco, CA Category: Staff Positions Posted On: Fri Mar Job Description: The Associate Director of Web Strategy and Development plays a critical role as web strategist, technical developer, and design lead under the direction of the VP of Internal University Relations and Chief Marketing & Communications Officer of Strategic Communications and with the Strategic Communications & Relations team. Web Strategy The Associate Director works with CIIS leadership, marketers, analysts, admins, program managers, writers, video producers, and photographers to create a dynamic rich experience for visitors to the website. This role is responsible for innovative and strategic use of web platforms to showcase rich media and creative content of CIIS. They partner with stakeholders throughout the University to identify goals, set measurable objectives, gather requirements and implement the vision into digital reality. They also play a role in leveraging the University's holistic digital footprint within the context of CIIS' overall communications and marketing positioning strategy, including paid digital advertising, social media and email communications. This role enhances the reputation of CIIS, promotes its brand, and develops creative content across multiple platforms. Web Development The Associate Director is responsible for the design, development, delivery, administration, and management of CIIS' website. This position includes managing a small team of web developers and administrators, overseeing features and functionality; supporting the editor community; offering content strategy, user experience, and analytics consulting; ensuring accessibility compliance, and creating and upholding digital governance to impose clarity and consistency on the website. In addition to overseeing the website, they manage quality assurance initiatives for the web development team. ESSENTIAL DUTIES AND RESPONSIBILITIES Assisting VP and Directors in planning product roadmap and communicating milestone updates to stakeholders Leading technical design on new products and major product components Defining and documenting best practices for application development Supporting strategic initiatives through dialog with leadership teams Responsible for code accuracy, functionality, documentation, and improvement Conducting security reviews Task prioritization and guidance Guiding architecture decisions with other Marketing and Communications teams Facilitating communication between developers and instructional designers Working with University IT to ensure SSL certification Troubleshooting technical issues and code conflicts; serving as an emergency contact for triage of website issues Managing workflow of projects and setting development priorities; ensuring proper workflow processes are followed and verify task completion Ensuring the Web Services team is establishing and adhering to best practices for UX and graphic design Researching and remaining vigilant on adherence to WCAG standards Facilitating meetings, clarifying processes, brainstorming solutions, and assisting in conflict resolution Managing vendors and track budgets Technical mentoring Conducting performance reviews and tailoring training to fill individual skill gaps Job Requirements: MINIMUM QUALIFICATIONS Bachelor's degree and 6+ years of web development, including experience on large-scale web products; 2+ years managing a development team and technology vendors. Demonstrated success record with developing and managing websites. Excellent communication and interpersonal skills. Experience with Drupal. Clear understanding of web standards and usability methods. Excellent ability to explain technical features to a non-technical audience. Solid knowledge of web authoring and publishing tools. Expert knowledge of content management systems, including the ability to perform standard configuration. Ability to design and implement complex web services. Experience setting up development stack, including Docker, GIT, Drush, and Composer. In-depth knowledge of HTML, CSS, and related website development technologies and software. Clear understanding of web standards (e.g., WCAG), web design best practices, and usability methods. Knowledge of multimedia and design. Proficiency with relational database technology, SQL, Access, and Filemaker Pro. Working knowledge of office applications (e.g., Microsoft Word, Outlook, PowerPoint, Google Forms). Experience with versioning software (e.g., GIT). PREFERRED QUALIFICATIONS Prior experience working in a higher education and/or non-profit setting. Familiarity with programming and scripting languages (e.g., PHP). Understanding of relational database technology (e.g., MySQL). Strong proficiency in information architecture and content management. Experience designing and implementing A/B campaigns Willingness to learn new web-based technologies, including applications and programming languages. Familiarity with the Adobe Creative Cloud suite is a plus. LOCATION Hybrid or remote work possible. May work extended hours and weekends. Additional Information: WAGES AND BENEFITS Salary Range: $85,000 - $100,000 CIIS offers a comprehensive benefits package. NOTES TO CANDIDATE Background Check - Due to the sensitivity and requirements of this position, you should expect to undergo and be cleared of an employment background/criminal check, if extended an offer for employment. You may also be asked to provide proof of educational degree(s), licenses, or credentials pertinent to the position. If your job requires driving on behalf of CIIS you will be required to provide proof of a valid driver's license. Visa Sponsorship - Visa sponsorship is not available for this position. Applicants must currently be authorized to work in the United States for any employer. Relocation Assistance - This position is not eligible for relocation assistance. EQUAL EMPLOYMENT OPPORTUNITY POLICY CIIS strives to cultivate and preserve a culture of inclusion and belonging as part of its Seven Commitments. More than accept difference, we honor and celebrate our staff's diversity of experiences, perspectives, and identities. Together, our community creates and maintains working and learning environments that are inclusive, equitable, accessible, and welcoming. CIIS is proud to be an equal opportunity employer. We are committed to providing an open, fair, inclusive, non-discriminatory environment for all individuals across differences of race, religion, sexual orientation, gender identity, national origin, socio- economic status, ethnicity, age, physical ability, or medical condition. We seek to increase the presence, representation, and inclusion of U.S. historically under-represented people of color, international, bilingual, and bicultural students, faculty, and staff; and, to provide an environment that will attract and retain individuals identified as lesbian, gay, bisexual, transgender, queer, questioning and intersex (LGBTQQI+). CIIS is committed to compliance with all fair employment practices regarding citizenship and immigration status. PI00fc702ad01d-7822
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
03/26/2024
Full time
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
03/26/2024
Full time
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
03/26/2024
Full time
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
03/26/2024
Full time
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
03/26/2024
Full time
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
03/26/2024
Full time
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
03/26/2024
Full time
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
03/25/2024
Full time
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
03/25/2024
Full time
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
03/25/2024
Full time
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
03/25/2024
Full time
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
03/25/2024
Full time
130 5th Ave (22130), United States of America, New York, New York Director, Generative AI Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. At Capital One, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Director, Generative AI to help us build the foundations of our Generative AI platform. You will lead a team of AI engineers and applied scientists, and work on a wide range of initiatives, whether that's building large-scale distributed training clusters, optimizing training pipelines to underlying hardware/software stack, or deploying LLMs on GPU instances for real-time applications and decisioning systems, all in our public cloud infrastructure. You will work closely with other infrastructure and research teams to design and implement key capabilities of our platform. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our platform. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building large-scale ML systems At least 6 years of experience developing AI/ML algorithms in Python or C/C++ At least 5 years of experience leading teams of engineers and applied scientists At least 3 years of experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud Preferred Qualifications: Master's degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a platform. Experience working with public cloud infrastructure such as AWS, Azure or GCP. Familiarity with deploying large neural network models in demanding production environments. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).