Center 3 (19075), United States of America, McLean, Virginia Lead Sailpoint Engineer (Remote Eligible) Senior SailPoint Engineer Do you want to work for a tech company that writes its own code, develops its own software, and builds its own products? We experiment and innovate leveraging the latest technologies, engineer breakthrough customer experiences, and bring simplicity and humanity to banking. We make a difference for 65 million customers. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We want you to be curious and ask "what if?" Capital One started as an information strategy company that specialized in credit cards, and we have become one of the most impactful and disruptive players in the industry. We have grown to see ourselves as a technology company in consumer finance, with great opportunities for engineers who want to build innovative applications to give users smarter ways to save, transact, borrow and invest their money, as we seek to disrupt the industry again .As a Capital One SailPoint Engineer, you'll work on a SailPoint identity platform to support Identity Access Management needs. Responsibilities: Address end-user issues within SLAs by partnering with Delivery Teams Work with the user community to troubleshoot PROD issues and provide workarounds. Perform end to end RCAs when required for our IAM systems. Establish and implement a robust application monitoring process to make sure we have 24x7 alerting in place. Identify Provisioning failures in the environment and provide solutions Partner with internal teams to ensure support activities are aligned with the application designs. Establish Monitoring and Alerting for Key Controls , work with Audit teams to support Control walkthrough and evidence Identify opportunities for automation, evaluate new tools, and drive implementation of technology that creates value for the organization. Build strong relationships with customers, stakeholders, and team members Provide regular updates to the management team on project progress Perform User access certification activations and validations Provide support on Cert creation and Modifications on a daily basis. Assist with creating and updating Segregation of Duties matrix for IT roles. Assist with implementation and integration of IT RBAC roles within SailPoint. Support the rollout and onboarding of new applications Provide Bulk requests support to Users and application teams Perform ad hoc data requests and build operational reports Assist in monitoring, troubleshooting, and providing problem resolutions to related incidents Operational support with change and incident management processes Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: High school diploma, GED or equivalent certification At least 6 years of experience in Information Technology At least 6 years of experience in Sailpoint or another Identity, Governance, and Administration (IGA) tool At least 4 years of experience in Java or Python At least 1 year experience with cloud computing Preferred Qualifications: Bachelor's Degree 5+ years of experience supporting Java and SailPoint applications 5+ years of experience troubleshooting SailPoint workflows and customizations 3+ years of experience with Role Based Access Controls (RBAC) 3+ years of experience troubleshooting end user issues in Access Certifications 2+ years of experience with Amazon Web Services (AWS) ITIL Certification AWS Certification 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. Remote (Regardless of Location): $170,700 - $194,800 for Manager, Cyber Technical 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).
04/20/2024
Full time
Center 3 (19075), United States of America, McLean, Virginia Lead Sailpoint Engineer (Remote Eligible) Senior SailPoint Engineer Do you want to work for a tech company that writes its own code, develops its own software, and builds its own products? We experiment and innovate leveraging the latest technologies, engineer breakthrough customer experiences, and bring simplicity and humanity to banking. We make a difference for 65 million customers. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We want you to be curious and ask "what if?" Capital One started as an information strategy company that specialized in credit cards, and we have become one of the most impactful and disruptive players in the industry. We have grown to see ourselves as a technology company in consumer finance, with great opportunities for engineers who want to build innovative applications to give users smarter ways to save, transact, borrow and invest their money, as we seek to disrupt the industry again .As a Capital One SailPoint Engineer, you'll work on a SailPoint identity platform to support Identity Access Management needs. Responsibilities: Address end-user issues within SLAs by partnering with Delivery Teams Work with the user community to troubleshoot PROD issues and provide workarounds. Perform end to end RCAs when required for our IAM systems. Establish and implement a robust application monitoring process to make sure we have 24x7 alerting in place. Identify Provisioning failures in the environment and provide solutions Partner with internal teams to ensure support activities are aligned with the application designs. Establish Monitoring and Alerting for Key Controls , work with Audit teams to support Control walkthrough and evidence Identify opportunities for automation, evaluate new tools, and drive implementation of technology that creates value for the organization. Build strong relationships with customers, stakeholders, and team members Provide regular updates to the management team on project progress Perform User access certification activations and validations Provide support on Cert creation and Modifications on a daily basis. Assist with creating and updating Segregation of Duties matrix for IT roles. Assist with implementation and integration of IT RBAC roles within SailPoint. Support the rollout and onboarding of new applications Provide Bulk requests support to Users and application teams Perform ad hoc data requests and build operational reports Assist in monitoring, troubleshooting, and providing problem resolutions to related incidents Operational support with change and incident management processes Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: High school diploma, GED or equivalent certification At least 6 years of experience in Information Technology At least 6 years of experience in Sailpoint or another Identity, Governance, and Administration (IGA) tool At least 4 years of experience in Java or Python At least 1 year experience with cloud computing Preferred Qualifications: Bachelor's Degree 5+ years of experience supporting Java and SailPoint applications 5+ years of experience troubleshooting SailPoint workflows and customizations 3+ years of experience with Role Based Access Controls (RBAC) 3+ years of experience troubleshooting end user issues in Access Certifications 2+ years of experience with Amazon Web Services (AWS) ITIL Certification AWS Certification 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. Remote (Regardless of Location): $170,700 - $194,800 for Manager, Cyber Technical 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).
201 Third Street (61049), United States of America, San Francisco, California Senior Manager, Generative AI Product Engineering - 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 Sr. Manager to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. 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 ML applications. At least 2 years of experience mentoring and leading teams developing AI and Machine Learning solutions At least 4 years of people management experience. Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. 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 foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. 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): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering Remote (Regardless of Location): $198,900 - $227,000 for Sr. Mgr, 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).
04/20/2024
Full time
201 Third Street (61049), United States of America, San Francisco, California Senior Manager, Generative AI Product Engineering - 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 Sr. Manager to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. 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 ML applications. At least 2 years of experience mentoring and leading teams developing AI and Machine Learning solutions At least 4 years of people management experience. Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. 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 foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. 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): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering Remote (Regardless of Location): $198,900 - $227,000 for Sr. Mgr, 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).
Job Title: Electrical Engineer Duration (Contract/CTH/Perm): 6 to 12+ month contract (possible perm for right candidate) Location (Onsite/Hybrid/Remote): 5 days week onsite in Byhalia MS Top 3 Skills (Required): 1. Developed and reviewed design prototypes, performed tests, finalized product design and facilitated product transfer to manufacturing for general production. 2. Familiarity with: - selecting electrical components based on electrical data sheets or specifications. - reading electrical wiring schematics and system wiring diagrams. - using electrical tools such as multimeter and oscilloscope. - Poka-yoke design technique. 3. Electrical circuit design and analysis. ESSENTIAL JOB FUNCTIONS (List in order of priority) - Designs electrical components and systems - Relies on experience and judgment with very limited instructions to plan and accomplish goals - Reports to manager - Uses computer-assisted engineering and design software and equipment to perform assignments - Understands and uses the A17.1 elevator code as a basis for all designs - Utilizes a wide degree of creativity and latitude in performing the essential functions of the role - Reads requirements and specifications to fully understand the systems required for the components being used - Generates designs per the outlined requirements and specifications - Contributes in a team environment - Adheres to the corporate compliance policy and ensures that behavior in the workplace is that of a responsible professional - Perform special projects and other duties as assigned REQUIRED KNOWLEDGE, SKILLS, ABILITIES - Comprehension of general electrical engineering concepts required - Must possess excellent customer service skills - Must possess strong decision-making abilities - Experience in a lean manufacturing environment preferred - Proficient in Microsoft Office Suite (Word, Excel, PowerPoint and Outlook) - Possess effective verbal, written and presentation skills - Demonstrated experience in using computer-assisted design software such as SolidWorks, AutoCAD, Blue Beam/Adobe Writer - Demonstrated experience with hands on technical wiring and assembly of mechanical equipment a plus - Demonstrated experience with the use of computer-assisted engineering tools and general knowledge of test equipment such as Oscilloscopes, Probes, Meters - Possess the ability to closely follow instructions and pre-established procedures/SOP to perform the functions of the job REQUIRED WORK EXPERIENCE - 5+ years of related experience is required - Demonstrated experience of working in a team environment REQUIRED EDUCATION, CERTIFICATIONS, TRAINING - Bachelor of Science degree in Electrical Engineering required
04/20/2024
Full time
Job Title: Electrical Engineer Duration (Contract/CTH/Perm): 6 to 12+ month contract (possible perm for right candidate) Location (Onsite/Hybrid/Remote): 5 days week onsite in Byhalia MS Top 3 Skills (Required): 1. Developed and reviewed design prototypes, performed tests, finalized product design and facilitated product transfer to manufacturing for general production. 2. Familiarity with: - selecting electrical components based on electrical data sheets or specifications. - reading electrical wiring schematics and system wiring diagrams. - using electrical tools such as multimeter and oscilloscope. - Poka-yoke design technique. 3. Electrical circuit design and analysis. ESSENTIAL JOB FUNCTIONS (List in order of priority) - Designs electrical components and systems - Relies on experience and judgment with very limited instructions to plan and accomplish goals - Reports to manager - Uses computer-assisted engineering and design software and equipment to perform assignments - Understands and uses the A17.1 elevator code as a basis for all designs - Utilizes a wide degree of creativity and latitude in performing the essential functions of the role - Reads requirements and specifications to fully understand the systems required for the components being used - Generates designs per the outlined requirements and specifications - Contributes in a team environment - Adheres to the corporate compliance policy and ensures that behavior in the workplace is that of a responsible professional - Perform special projects and other duties as assigned REQUIRED KNOWLEDGE, SKILLS, ABILITIES - Comprehension of general electrical engineering concepts required - Must possess excellent customer service skills - Must possess strong decision-making abilities - Experience in a lean manufacturing environment preferred - Proficient in Microsoft Office Suite (Word, Excel, PowerPoint and Outlook) - Possess effective verbal, written and presentation skills - Demonstrated experience in using computer-assisted design software such as SolidWorks, AutoCAD, Blue Beam/Adobe Writer - Demonstrated experience with hands on technical wiring and assembly of mechanical equipment a plus - Demonstrated experience with the use of computer-assisted engineering tools and general knowledge of test equipment such as Oscilloscopes, Probes, Meters - Possess the ability to closely follow instructions and pre-established procedures/SOP to perform the functions of the job REQUIRED WORK EXPERIENCE - 5+ years of related experience is required - Demonstrated experience of working in a team environment REQUIRED EDUCATION, CERTIFICATIONS, TRAINING - Bachelor of Science degree in Electrical Engineering required
130 5th Ave (22130), United States of America, New York, New York Senior Engineer - Generative AI Product Engineering (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 Senior Generative AI Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services that enable real-time customer-facing applications. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience. Enable our users to build new GenAI capabilities. Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. 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 4 years of experience designing and building and deploying ML application platforms. At least 4 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. Familiarity with Graph or Network Theory and Graph ML, including relevant frameworks and libraries such as Deep Graph Learning (DGL) or PyTorch or NetworkX Familiarity with graph querying tools such as Apache Tinkerpop Gremlin, Apache Spark Graphframes, or graph databases. 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 foundational capabilities. Experience with optimizing ML algorithms and software implementations for speed, efficiency and resource utilization 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): $165,100 - $188,500 for Senior Machine Learning Engineer San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer Remote (Regardless of Location): $140,000 - $159,800 for Senior Machine Learning Engineer 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).
04/20/2024
Full time
130 5th Ave (22130), United States of America, New York, New York Senior Engineer - Generative AI Product Engineering (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 Senior Generative AI Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services that enable real-time customer-facing applications. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience. Enable our users to build new GenAI capabilities. Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. 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 4 years of experience designing and building and deploying ML application platforms. At least 4 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. Familiarity with Graph or Network Theory and Graph ML, including relevant frameworks and libraries such as Deep Graph Learning (DGL) or PyTorch or NetworkX Familiarity with graph querying tools such as Apache Tinkerpop Gremlin, Apache Spark Graphframes, or graph databases. 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 foundational capabilities. Experience with optimizing ML algorithms and software implementations for speed, efficiency and resource utilization 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): $165,100 - $188,500 for Senior Machine Learning Engineer San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer Remote (Regardless of Location): $140,000 - $159,800 for Senior Machine Learning Engineer 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).
Center 3 (19075), United States of America, McLean, Virginia Senior Sailpoint Engineer (Remote Eligible) Senior SailPoint Engineer Do you want to work for a tech company that writes its own code, develops its own software, and builds its own products? We experiment and innovate leveraging the latest technologies, engineer breakthrough customer experiences, and bring simplicity and humanity to banking. We make a difference for 65 million customers. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We want you to be curious and ask "what if?" Capital One started as an information strategy company that specialized in credit cards, and we have become one of the most impactful and disruptive players in the industry. We have grown to see ourselves as a technology company in consumer finance, with great opportunities for engineers who want to build innovative applications to give users smarter ways to save, transact, borrow and invest their money, as we seek to disrupt the industry again .As a Capital One SailPoint Engineer, you'll work on a SailPoint identity platform to support Identity Access Management needs. Responsibilities: Address end-user issues within SLAs by partnering with Delivery Teams Work with the user community to troubleshoot PROD issues and provide workarounds. Perform end to end RCAs when required for our IAM systems. Establish and implement a robust application monitoring process to make sure we have 24x7 alerting in place. Identify Provisioning failures in the environment and provide solutions Partner with internal teams to ensure support activities are aligned with the application designs. Establish Monitoring and Alerting for Key Controls , work with Audit teams to support Control walkthrough and evidence Identify opportunities for automation, evaluate new tools, and drive implementation of technology that creates value for the organization. Build strong relationships with customers, stakeholders, and team members Provide regular updates to the management team on project progress Perform User access certification activations and validations Provide support on Cert creation and Modifications on a daily basis. Assist with creating and updating Segregation of Duties matrix for IT roles. Assist with implementation and integration of IT RBAC roles within SailPoint. Support the rollout and onboarding of new applications Provide Bulk requests support to Users and application teams Perform ad hoc data requests and build operational reports Assist in monitoring, troubleshooting, and providing problem resolutions to related incidents Operational support with change and incident management processes Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: High school diploma, GED or equivalent certification At least 4 years of experience in Information Technology At least 4 years of experience in Java or Python At least 4 years of experience in Sailpoint or another Identity, Governance, and Administration (IGA) tool At least 1 year experience with cloud computing Preferred Qualifications: Bachelor's Degree 5+ years of experience supporting Java and SailPoint applications 5+ years of experience troubleshooting SailPoint workflows and customizations 3+ years of experience with Role Based Access Controls (RBAC) 3+ years of experience troubleshooting end user issues in Access Certifications 2+ years of experience with Amazon Web Services (AWS) ITIL Certification AWS Certification 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. Remote (Regardless of Location): $140,000 - $159,800 for Prin Assoc, Cyber Technical 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).
04/20/2024
Full time
Center 3 (19075), United States of America, McLean, Virginia Senior Sailpoint Engineer (Remote Eligible) Senior SailPoint Engineer Do you want to work for a tech company that writes its own code, develops its own software, and builds its own products? We experiment and innovate leveraging the latest technologies, engineer breakthrough customer experiences, and bring simplicity and humanity to banking. We make a difference for 65 million customers. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We want you to be curious and ask "what if?" Capital One started as an information strategy company that specialized in credit cards, and we have become one of the most impactful and disruptive players in the industry. We have grown to see ourselves as a technology company in consumer finance, with great opportunities for engineers who want to build innovative applications to give users smarter ways to save, transact, borrow and invest their money, as we seek to disrupt the industry again .As a Capital One SailPoint Engineer, you'll work on a SailPoint identity platform to support Identity Access Management needs. Responsibilities: Address end-user issues within SLAs by partnering with Delivery Teams Work with the user community to troubleshoot PROD issues and provide workarounds. Perform end to end RCAs when required for our IAM systems. Establish and implement a robust application monitoring process to make sure we have 24x7 alerting in place. Identify Provisioning failures in the environment and provide solutions Partner with internal teams to ensure support activities are aligned with the application designs. Establish Monitoring and Alerting for Key Controls , work with Audit teams to support Control walkthrough and evidence Identify opportunities for automation, evaluate new tools, and drive implementation of technology that creates value for the organization. Build strong relationships with customers, stakeholders, and team members Provide regular updates to the management team on project progress Perform User access certification activations and validations Provide support on Cert creation and Modifications on a daily basis. Assist with creating and updating Segregation of Duties matrix for IT roles. Assist with implementation and integration of IT RBAC roles within SailPoint. Support the rollout and onboarding of new applications Provide Bulk requests support to Users and application teams Perform ad hoc data requests and build operational reports Assist in monitoring, troubleshooting, and providing problem resolutions to related incidents Operational support with change and incident management processes Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: High school diploma, GED or equivalent certification At least 4 years of experience in Information Technology At least 4 years of experience in Java or Python At least 4 years of experience in Sailpoint or another Identity, Governance, and Administration (IGA) tool At least 1 year experience with cloud computing Preferred Qualifications: Bachelor's Degree 5+ years of experience supporting Java and SailPoint applications 5+ years of experience troubleshooting SailPoint workflows and customizations 3+ years of experience with Role Based Access Controls (RBAC) 3+ years of experience troubleshooting end user issues in Access Certifications 2+ years of experience with Amazon Web Services (AWS) ITIL Certification AWS Certification 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. Remote (Regardless of Location): $140,000 - $159,800 for Prin Assoc, Cyber Technical 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).
314 Main Street (21020), United States of America, Cambridge, Massachusetts Senior Lead Engineer - Generative AI Product Engineering 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 Sr. Lead Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques. At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. 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 foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer 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).
04/20/2024
Full time
314 Main Street (21020), United States of America, Cambridge, Massachusetts Senior Lead Engineer - Generative AI Product Engineering 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 Sr. Lead Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques. At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. 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 foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer 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).
Every day, our team members do amazing things in pursuit of our shared purpose to build trust with our clients, partners, subcontractors, and teammates. No matter your background, education, or career path, if you share our vision to create extraordinary experiences, you belong at HITT. Commercial Construction Project Manager Job Description: A Project Manager (PM) develops, coordinates, implements, and manages all facets necessary to construct the project on time, within budget, and to the quality specified. The PM provides leadership and serves as the liaison between project team members to promote the interest of both the business and clients in all matters, as well as demonstrate the characteristics of a mid-level leader. The PM is the primary leader for the construction project. Responsibilities Maintain adherence to HITT's standards of safety; ensuring that required documentation is filed Create and manage project budget for all assigned projects Develop and collaborate on pre-construction RFP package Conduct project meetings, while setting milestones and formulating monthly owner reports Establish job processes (RFIs, submittals, and pay applications) including approving pay applications and negotiating subcontract change orders Perform project scheduling; ensure project quality control and establish overall project logistics Manage the closeout process efficiently Contact new and existing customers to discuss their needs while explaining how these needs could be met by specific company services Supervise assistant operations support roles such as assistant project manager, administrative assistant, MEP managers, safety team members, etc. Collaborate with the project superintendent and site operations team throughout the life of the project Qualifications High school diploma required, four-year degree from an accredited university with a concentration in construction, engineering, or business is strongly preferred In lieu of a degree, additional work experience is acceptable 5+ years' experience in commercial construction, including experience with a commercial general contractor Previous experience in a project management role with the ability to execute multiple projects and/or simultaneously Ability to master sector/project-specific software systems including but not limited to: Microsoft Office suite (ex. Project, Excel, Word, Outlook, PowerPoint, etc.), ProCore, Adobe, BlueBeam, JD Edwards Mastery of reading construction drawings; tasks including reading, interpreting, and updating construction project-related drawings Ability to organize necessary resources, including people, tools and time to meet tight deadlines and achieve desired results Knowledge of current market conditions including pricing conventions and trends Must demonstrate a strong ability to: Carry oneself as a leader and knowledge holder of the project while facilitating the decision-making process Demonstrate a positive attitude and passion for construction and our industry Communicate clearly, concisely, and professionally, with a strong ability to present complex information in a clear and concise manner Take initiative and seek responsibility Demonstrate integrity consistent with The HITT Way and HITT's core values Seek continuous improvement of knowledge and abilities, internal focus on self-improvement Recognize quality and implement contractual and HITT quality standards Adapt and exercise flexibility with the ever-changing world of technology, design, means and methods Collaborate with people of various backgrounds and styles Foster positive relationships with colleagues, clients, subcontractors and vendors Approach all situations with a customer service oriented attitude Coach, train and educate assistant level operations team members Sustain existing client relationships and develop new client relationships Understand and know what tasks are more important than others; discern what needs to be solved immediately and what can wait; ability to multi-task effectively Exhibit respectfulness by being punctual, engaged/focused, and respectful of others HITT Contracting, Inc. is committed to creating a diverse and inclusive environment. We are proud to be an Equal Opportunity and Affirmative Action Employer providing opportunities to all employees and applicants without regard to race, sex, national origin, religion, age, disability, veteran status, genetic information, sexual orientation, gender identity and any other protected status in accordance with applicable law. Women, minorities, individuals with disabilities, veterans, and LGBTQ+ individuals are encouraged to apply. HITT Contracting, Inc. promotes a drug-free workplace.
04/20/2024
Full time
Every day, our team members do amazing things in pursuit of our shared purpose to build trust with our clients, partners, subcontractors, and teammates. No matter your background, education, or career path, if you share our vision to create extraordinary experiences, you belong at HITT. Commercial Construction Project Manager Job Description: A Project Manager (PM) develops, coordinates, implements, and manages all facets necessary to construct the project on time, within budget, and to the quality specified. The PM provides leadership and serves as the liaison between project team members to promote the interest of both the business and clients in all matters, as well as demonstrate the characteristics of a mid-level leader. The PM is the primary leader for the construction project. Responsibilities Maintain adherence to HITT's standards of safety; ensuring that required documentation is filed Create and manage project budget for all assigned projects Develop and collaborate on pre-construction RFP package Conduct project meetings, while setting milestones and formulating monthly owner reports Establish job processes (RFIs, submittals, and pay applications) including approving pay applications and negotiating subcontract change orders Perform project scheduling; ensure project quality control and establish overall project logistics Manage the closeout process efficiently Contact new and existing customers to discuss their needs while explaining how these needs could be met by specific company services Supervise assistant operations support roles such as assistant project manager, administrative assistant, MEP managers, safety team members, etc. Collaborate with the project superintendent and site operations team throughout the life of the project Qualifications High school diploma required, four-year degree from an accredited university with a concentration in construction, engineering, or business is strongly preferred In lieu of a degree, additional work experience is acceptable 5+ years' experience in commercial construction, including experience with a commercial general contractor Previous experience in a project management role with the ability to execute multiple projects and/or simultaneously Ability to master sector/project-specific software systems including but not limited to: Microsoft Office suite (ex. Project, Excel, Word, Outlook, PowerPoint, etc.), ProCore, Adobe, BlueBeam, JD Edwards Mastery of reading construction drawings; tasks including reading, interpreting, and updating construction project-related drawings Ability to organize necessary resources, including people, tools and time to meet tight deadlines and achieve desired results Knowledge of current market conditions including pricing conventions and trends Must demonstrate a strong ability to: Carry oneself as a leader and knowledge holder of the project while facilitating the decision-making process Demonstrate a positive attitude and passion for construction and our industry Communicate clearly, concisely, and professionally, with a strong ability to present complex information in a clear and concise manner Take initiative and seek responsibility Demonstrate integrity consistent with The HITT Way and HITT's core values Seek continuous improvement of knowledge and abilities, internal focus on self-improvement Recognize quality and implement contractual and HITT quality standards Adapt and exercise flexibility with the ever-changing world of technology, design, means and methods Collaborate with people of various backgrounds and styles Foster positive relationships with colleagues, clients, subcontractors and vendors Approach all situations with a customer service oriented attitude Coach, train and educate assistant level operations team members Sustain existing client relationships and develop new client relationships Understand and know what tasks are more important than others; discern what needs to be solved immediately and what can wait; ability to multi-task effectively Exhibit respectfulness by being punctual, engaged/focused, and respectful of others HITT Contracting, Inc. is committed to creating a diverse and inclusive environment. We are proud to be an Equal Opportunity and Affirmative Action Employer providing opportunities to all employees and applicants without regard to race, sex, national origin, religion, age, disability, veteran status, genetic information, sexual orientation, gender identity and any other protected status in accordance with applicable law. Women, minorities, individuals with disabilities, veterans, and LGBTQ+ individuals are encouraged to apply. HITT Contracting, Inc. promotes a drug-free workplace.
Center 3 (19075), United States of America, McLean, Virginia Senior Sailpoint Engineer (Remote Eligible) Senior SailPoint Engineer Do you want to work for a tech company that writes its own code, develops its own software, and builds its own products? We experiment and innovate leveraging the latest technologies, engineer breakthrough customer experiences, and bring simplicity and humanity to banking. We make a difference for 65 million customers. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We want you to be curious and ask "what if?" Capital One started as an information strategy company that specialized in credit cards, and we have become one of the most impactful and disruptive players in the industry. We have grown to see ourselves as a technology company in consumer finance, with great opportunities for engineers who want to build innovative applications to give users smarter ways to save, transact, borrow and invest their money, as we seek to disrupt the industry again .As a Capital One SailPoint Engineer, you'll work on a SailPoint identity platform to support Identity Access Management needs. Responsibilities: Address end-user issues within SLAs by partnering with Delivery Teams Work with the user community to troubleshoot PROD issues and provide workarounds. Perform end to end RCAs when required for our IAM systems. Establish and implement a robust application monitoring process to make sure we have 24x7 alerting in place. Identify Provisioning failures in the environment and provide solutions Partner with internal teams to ensure support activities are aligned with the application designs. Establish Monitoring and Alerting for Key Controls , work with Audit teams to support Control walkthrough and evidence Identify opportunities for automation, evaluate new tools, and drive implementation of technology that creates value for the organization. Build strong relationships with customers, stakeholders, and team members Provide regular updates to the management team on project progress Perform User access certification activations and validations Provide support on Cert creation and Modifications on a daily basis. Assist with creating and updating Segregation of Duties matrix for IT roles. Assist with implementation and integration of IT RBAC roles within SailPoint. Support the rollout and onboarding of new applications Provide Bulk requests support to Users and application teams Perform ad hoc data requests and build operational reports Assist in monitoring, troubleshooting, and providing problem resolutions to related incidents Operational support with change and incident management processes Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: High school diploma, GED or equivalent certification At least 4 years of experience in Information Technology At least 4 years of experience in Java or Python At least 4 years of experience in Sailpoint or another Identity, Governance, and Administration (IGA) tool At least 1 year experience with cloud computing Preferred Qualifications: Bachelor's Degree 5+ years of experience supporting Java and SailPoint applications 5+ years of experience troubleshooting SailPoint workflows and customizations 3+ years of experience with Role Based Access Controls (RBAC) 3+ years of experience troubleshooting end user issues in Access Certifications 2+ years of experience with Amazon Web Services (AWS) ITIL Certification AWS Certification 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. Remote (Regardless of Location): $140,000 - $159,800 for Prin Assoc, Cyber Technical 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).
04/20/2024
Full time
Center 3 (19075), United States of America, McLean, Virginia Senior Sailpoint Engineer (Remote Eligible) Senior SailPoint Engineer Do you want to work for a tech company that writes its own code, develops its own software, and builds its own products? We experiment and innovate leveraging the latest technologies, engineer breakthrough customer experiences, and bring simplicity and humanity to banking. We make a difference for 65 million customers. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We want you to be curious and ask "what if?" Capital One started as an information strategy company that specialized in credit cards, and we have become one of the most impactful and disruptive players in the industry. We have grown to see ourselves as a technology company in consumer finance, with great opportunities for engineers who want to build innovative applications to give users smarter ways to save, transact, borrow and invest their money, as we seek to disrupt the industry again .As a Capital One SailPoint Engineer, you'll work on a SailPoint identity platform to support Identity Access Management needs. Responsibilities: Address end-user issues within SLAs by partnering with Delivery Teams Work with the user community to troubleshoot PROD issues and provide workarounds. Perform end to end RCAs when required for our IAM systems. Establish and implement a robust application monitoring process to make sure we have 24x7 alerting in place. Identify Provisioning failures in the environment and provide solutions Partner with internal teams to ensure support activities are aligned with the application designs. Establish Monitoring and Alerting for Key Controls , work with Audit teams to support Control walkthrough and evidence Identify opportunities for automation, evaluate new tools, and drive implementation of technology that creates value for the organization. Build strong relationships with customers, stakeholders, and team members Provide regular updates to the management team on project progress Perform User access certification activations and validations Provide support on Cert creation and Modifications on a daily basis. Assist with creating and updating Segregation of Duties matrix for IT roles. Assist with implementation and integration of IT RBAC roles within SailPoint. Support the rollout and onboarding of new applications Provide Bulk requests support to Users and application teams Perform ad hoc data requests and build operational reports Assist in monitoring, troubleshooting, and providing problem resolutions to related incidents Operational support with change and incident management processes Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: High school diploma, GED or equivalent certification At least 4 years of experience in Information Technology At least 4 years of experience in Java or Python At least 4 years of experience in Sailpoint or another Identity, Governance, and Administration (IGA) tool At least 1 year experience with cloud computing Preferred Qualifications: Bachelor's Degree 5+ years of experience supporting Java and SailPoint applications 5+ years of experience troubleshooting SailPoint workflows and customizations 3+ years of experience with Role Based Access Controls (RBAC) 3+ years of experience troubleshooting end user issues in Access Certifications 2+ years of experience with Amazon Web Services (AWS) ITIL Certification AWS Certification 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. Remote (Regardless of Location): $140,000 - $159,800 for Prin Assoc, Cyber Technical 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).
314 Main Street (21020), United States of America, Cambridge, Massachusetts Senior Lead Engineer - Generative AI Product Engineering 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 Sr. Lead Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques. At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. 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 foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer 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).
04/20/2024
Full time
314 Main Street (21020), United States of America, Cambridge, Massachusetts Senior Lead Engineer - Generative AI Product Engineering 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 Sr. Lead Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques. At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. 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 foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer 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).
Center 3 (19075), United States of America, McLean, Virginia Senior Sailpoint Engineer (Remote Eligible) Senior SailPoint Engineer Do you want to work for a tech company that writes its own code, develops its own software, and builds its own products? We experiment and innovate leveraging the latest technologies, engineer breakthrough customer experiences, and bring simplicity and humanity to banking. We make a difference for 65 million customers. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We want you to be curious and ask "what if?" Capital One started as an information strategy company that specialized in credit cards, and we have become one of the most impactful and disruptive players in the industry. We have grown to see ourselves as a technology company in consumer finance, with great opportunities for engineers who want to build innovative applications to give users smarter ways to save, transact, borrow and invest their money, as we seek to disrupt the industry again .As a Capital One SailPoint Engineer, you'll work on a SailPoint identity platform to support Identity Access Management needs. Responsibilities: Address end-user issues within SLAs by partnering with Delivery Teams Work with the user community to troubleshoot PROD issues and provide workarounds. Perform end to end RCAs when required for our IAM systems. Establish and implement a robust application monitoring process to make sure we have 24x7 alerting in place. Identify Provisioning failures in the environment and provide solutions Partner with internal teams to ensure support activities are aligned with the application designs. Establish Monitoring and Alerting for Key Controls , work with Audit teams to support Control walkthrough and evidence Identify opportunities for automation, evaluate new tools, and drive implementation of technology that creates value for the organization. Build strong relationships with customers, stakeholders, and team members Provide regular updates to the management team on project progress Perform User access certification activations and validations Provide support on Cert creation and Modifications on a daily basis. Assist with creating and updating Segregation of Duties matrix for IT roles. Assist with implementation and integration of IT RBAC roles within SailPoint. Support the rollout and onboarding of new applications Provide Bulk requests support to Users and application teams Perform ad hoc data requests and build operational reports Assist in monitoring, troubleshooting, and providing problem resolutions to related incidents Operational support with change and incident management processes Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: High school diploma, GED or equivalent certification At least 4 years of experience in Information Technology At least 4 years of experience in Java or Python At least 4 years of experience in Sailpoint or another Identity, Governance, and Administration (IGA) tool At least 1 year experience with cloud computing Preferred Qualifications: Bachelor's Degree 5+ years of experience supporting Java and SailPoint applications 5+ years of experience troubleshooting SailPoint workflows and customizations 3+ years of experience with Role Based Access Controls (RBAC) 3+ years of experience troubleshooting end user issues in Access Certifications 2+ years of experience with Amazon Web Services (AWS) ITIL Certification AWS Certification 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. Remote (Regardless of Location): $140,000 - $159,800 for Prin Assoc, Cyber Technical 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).
04/20/2024
Full time
Center 3 (19075), United States of America, McLean, Virginia Senior Sailpoint Engineer (Remote Eligible) Senior SailPoint Engineer Do you want to work for a tech company that writes its own code, develops its own software, and builds its own products? We experiment and innovate leveraging the latest technologies, engineer breakthrough customer experiences, and bring simplicity and humanity to banking. We make a difference for 65 million customers. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We want you to be curious and ask "what if?" Capital One started as an information strategy company that specialized in credit cards, and we have become one of the most impactful and disruptive players in the industry. We have grown to see ourselves as a technology company in consumer finance, with great opportunities for engineers who want to build innovative applications to give users smarter ways to save, transact, borrow and invest their money, as we seek to disrupt the industry again .As a Capital One SailPoint Engineer, you'll work on a SailPoint identity platform to support Identity Access Management needs. Responsibilities: Address end-user issues within SLAs by partnering with Delivery Teams Work with the user community to troubleshoot PROD issues and provide workarounds. Perform end to end RCAs when required for our IAM systems. Establish and implement a robust application monitoring process to make sure we have 24x7 alerting in place. Identify Provisioning failures in the environment and provide solutions Partner with internal teams to ensure support activities are aligned with the application designs. Establish Monitoring and Alerting for Key Controls , work with Audit teams to support Control walkthrough and evidence Identify opportunities for automation, evaluate new tools, and drive implementation of technology that creates value for the organization. Build strong relationships with customers, stakeholders, and team members Provide regular updates to the management team on project progress Perform User access certification activations and validations Provide support on Cert creation and Modifications on a daily basis. Assist with creating and updating Segregation of Duties matrix for IT roles. Assist with implementation and integration of IT RBAC roles within SailPoint. Support the rollout and onboarding of new applications Provide Bulk requests support to Users and application teams Perform ad hoc data requests and build operational reports Assist in monitoring, troubleshooting, and providing problem resolutions to related incidents Operational support with change and incident management processes Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: High school diploma, GED or equivalent certification At least 4 years of experience in Information Technology At least 4 years of experience in Java or Python At least 4 years of experience in Sailpoint or another Identity, Governance, and Administration (IGA) tool At least 1 year experience with cloud computing Preferred Qualifications: Bachelor's Degree 5+ years of experience supporting Java and SailPoint applications 5+ years of experience troubleshooting SailPoint workflows and customizations 3+ years of experience with Role Based Access Controls (RBAC) 3+ years of experience troubleshooting end user issues in Access Certifications 2+ years of experience with Amazon Web Services (AWS) ITIL Certification AWS Certification 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. Remote (Regardless of Location): $140,000 - $159,800 for Prin Assoc, Cyber Technical 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).
314 Main Street (21020), United States of America, Cambridge, Massachusetts Senior Lead Engineer - Generative AI Product Engineering 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 Sr. Lead Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques. At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. 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 foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer 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).
04/20/2024
Full time
314 Main Street (21020), United States of America, Cambridge, Massachusetts Senior Lead Engineer - Generative AI Product Engineering 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 Sr. Lead Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques. At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. 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 foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer 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).
Locations: VA - McLean, United States of America, McLean, Virginia Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible) Sr Distinguished Engineer, Generative AI Systems 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 Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: 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 infrastructure for serving large ML models, in our public cloud. 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 implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. 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 9 years of experience designing and building distributed computing HPC and large-scale ML systems At least 6 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. 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. 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. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. 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): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer Remote (Regardless of Location): $272,400 - $310,900 for Sr Distinguished Machine Learning Engineer 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).
04/20/2024
Full time
Locations: VA - McLean, United States of America, McLean, Virginia Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible) Sr Distinguished Engineer, Generative AI Systems 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 Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: 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 infrastructure for serving large ML models, in our public cloud. 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 implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. 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 9 years of experience designing and building distributed computing HPC and large-scale ML systems At least 6 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. 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. 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. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. 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): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer Remote (Regardless of Location): $272,400 - $310,900 for Sr Distinguished Machine Learning Engineer 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).
314 Main Street (21020), United States of America, Cambridge, Massachusetts Senior Lead Engineer - Generative AI Product Engineering 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 Sr. Lead Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques. At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. 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 foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer 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).
04/20/2024
Full time
314 Main Street (21020), United States of America, Cambridge, Massachusetts Senior Lead Engineer - Generative AI Product Engineering 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 Sr. Lead Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques. At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. 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 foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer 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).
NYC 299 Park Avenue (22957), United States of America, New York, New York Senior Lead Engineer - Generative AI Infrastructure (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 Sr. Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. 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. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. 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 designing and building data-intensive solutions using distributed computing At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. 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 foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer 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).
04/20/2024
Full time
NYC 299 Park Avenue (22957), United States of America, New York, New York Senior Lead Engineer - Generative AI Infrastructure (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 Sr. Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. 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. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. 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 designing and building data-intensive solutions using distributed computing At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. 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 foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer 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).
NYC 299 Park Avenue (22957), United States of America, New York, New York Senior Lead Engineer - Generative AI Infrastructure (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 Sr. Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. 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. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. 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 designing and building data-intensive solutions using distributed computing At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. 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 foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer 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).
04/20/2024
Full time
NYC 299 Park Avenue (22957), United States of America, New York, New York Senior Lead Engineer - Generative AI Infrastructure (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 Sr. Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. 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. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. 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 designing and building data-intensive solutions using distributed computing At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. 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 foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer 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).
314 Main Street (21020), United States of America, Cambridge, Massachusetts Senior Lead Engineer - Generative AI Product Engineering 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 Sr. Lead Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques. At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. 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 foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer 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).
04/20/2024
Full time
314 Main Street (21020), United States of America, Cambridge, Massachusetts Senior Lead Engineer - Generative AI Product Engineering 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 Sr. Lead Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques. At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. 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 foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer 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).
314 Main Street (21020), United States of America, Cambridge, Massachusetts Senior Lead Engineer - Generative AI Product Engineering 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 Sr. Lead Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques. At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. 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 foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer 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).
04/20/2024
Full time
314 Main Street (21020), United States of America, Cambridge, Massachusetts Senior Lead Engineer - Generative AI Product Engineering 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 Sr. Lead Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques. At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. 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 foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer 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).
NYC 299 Park Avenue (22957), United States of America, New York, New York Senior Lead Engineer - Generative AI Infrastructure (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 Sr. Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. 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. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. 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 designing and building data-intensive solutions using distributed computing At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. 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 foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer 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).
04/20/2024
Full time
NYC 299 Park Avenue (22957), United States of America, New York, New York Senior Lead Engineer - Generative AI Infrastructure (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 Sr. Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. 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. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. 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 designing and building data-intensive solutions using distributed computing At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. 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 foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer 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).
Every day, our team members do amazing things in pursuit of our shared purpose to build trust with our clients, partners, subcontractors, and teammates. No matter your background, education, or career path, if you share our vision to create extraordinary experiences, you belong at HITT. Commercial Construction Superintendent Job Description: A Superintendent directs the work flow of the project on site consistent with the project schedule and HITT safety and quality standards. The Superintendent provides leadership and serves as the liaison between project team members to promote the interest of both the business and clients in all matters, as well as demonstrate the characteristics of a mid-level leader. The Superintendent communicates project priorities to site staff and all subcontractors, serving as the primary leader on site for the construction project. Responsibilities Understanding and administering the HITT safety program to include all subcontractors, ensuring that all accidents/incidents are promptly reported and investigated, and assisting in safety inspections by outside agencies Maintain HITT quality standards for all aspects of the project Serve as the leader for all on site safety, managing a safe jobsite for all involved Maintain daily log of all activities and site conditions, while managing the punch list and closeout process through owner/architect acceptance Work with the project manager in formulating project schedule, ensuring that the proper methods and sequence of installation are followed, making and following through with schedule commitments, and maintaining HITT quality standards Maintain good working relationships with all subcontractors on the project, developing relationships within the community which enhance business opportunities, and ensuring subcontractors are treated fairly Ensure complete, accurate daily documentation of work orders/tickets, understanding subcontractor scope of work to avoid unnecessary change orders, and identifying problems early and act immediately to provide solutions Develop and organize the site team, arranging for temporary facilities/utilities for the site, and identifying long lead items that need to be expedited Collaborate with the project manager and site operations team throughout the life of the project Qualifications A four-year degree from an accredited university with a concentration in construction, engineering, or business is strongly preferred. In lieu of a degree, additional work experience is acceptable. 5+ years' experience in commercial construction, including experience with a commercial general contractor Tenant renovations, service work, work in occupied spaces, weekend work, fast paced project experience all a plus Mastery of building processes and best practices Ability to organize necessary resources, including people, tools and time to meet tight deadlines and achieve desired results Project lead experience preferred Previous experience in a superintendent or project lead experience preferred Ability to master sector/project-specific software systems including but not limited to: Microsoft Office suite (ex. Project, Excel, Word, Outlook, PowerPoint, etc.), ProCore, Adobe, BlueBeam, OSHA 30 Certification preferred Ability to walk and/or stand for long periods of time and the ability to lift up to 50lbs Must demonstrate a strong ability to: Communicate clearly, concisely, and professionally, with a strong focus on audience appropriate business writing and verbal skills Demonstrate a positive attitude and passion for construction and our industry Gather data, interpret it into meaningful information, and relay that information through clear, concise communication strategies; ability to see how pieces and processes fit into and affect the bigger picture/business model Organize and manage tasks and priorities Demonstrate integrity consistently with The HITT Way and HITT's core values Seek continuous improvement of knowledge and abilities, internal focus on self-improvement Adapt and exercise flexibility with the ever-changing world of technology, design, means and methods Collaborate with people of various backgrounds and styles Create and maintain relationships with colleagues, clients, subcontractors, and vendors Exhibit respectfulness by being punctual, engaged/focused, and respectful of others HITT Contracting, Inc. is committed to creating a diverse and inclusive environment. We are proud to be an Equal Opportunity and Affirmative Action Employer providing opportunities to all employees and applicants without regard to race, sex, national origin, religion, age, disability, veteran status, genetic information, sexual orientation, gender identity and any other protected status in accordance with applicable law. Women, minorities, individuals with disabilities, veterans, and LGBTQ+ individuals are encouraged to apply. HITT Contracting, Inc. promotes a drug-free workplace.
04/20/2024
Full time
Every day, our team members do amazing things in pursuit of our shared purpose to build trust with our clients, partners, subcontractors, and teammates. No matter your background, education, or career path, if you share our vision to create extraordinary experiences, you belong at HITT. Commercial Construction Superintendent Job Description: A Superintendent directs the work flow of the project on site consistent with the project schedule and HITT safety and quality standards. The Superintendent provides leadership and serves as the liaison between project team members to promote the interest of both the business and clients in all matters, as well as demonstrate the characteristics of a mid-level leader. The Superintendent communicates project priorities to site staff and all subcontractors, serving as the primary leader on site for the construction project. Responsibilities Understanding and administering the HITT safety program to include all subcontractors, ensuring that all accidents/incidents are promptly reported and investigated, and assisting in safety inspections by outside agencies Maintain HITT quality standards for all aspects of the project Serve as the leader for all on site safety, managing a safe jobsite for all involved Maintain daily log of all activities and site conditions, while managing the punch list and closeout process through owner/architect acceptance Work with the project manager in formulating project schedule, ensuring that the proper methods and sequence of installation are followed, making and following through with schedule commitments, and maintaining HITT quality standards Maintain good working relationships with all subcontractors on the project, developing relationships within the community which enhance business opportunities, and ensuring subcontractors are treated fairly Ensure complete, accurate daily documentation of work orders/tickets, understanding subcontractor scope of work to avoid unnecessary change orders, and identifying problems early and act immediately to provide solutions Develop and organize the site team, arranging for temporary facilities/utilities for the site, and identifying long lead items that need to be expedited Collaborate with the project manager and site operations team throughout the life of the project Qualifications A four-year degree from an accredited university with a concentration in construction, engineering, or business is strongly preferred. In lieu of a degree, additional work experience is acceptable. 5+ years' experience in commercial construction, including experience with a commercial general contractor Tenant renovations, service work, work in occupied spaces, weekend work, fast paced project experience all a plus Mastery of building processes and best practices Ability to organize necessary resources, including people, tools and time to meet tight deadlines and achieve desired results Project lead experience preferred Previous experience in a superintendent or project lead experience preferred Ability to master sector/project-specific software systems including but not limited to: Microsoft Office suite (ex. Project, Excel, Word, Outlook, PowerPoint, etc.), ProCore, Adobe, BlueBeam, OSHA 30 Certification preferred Ability to walk and/or stand for long periods of time and the ability to lift up to 50lbs Must demonstrate a strong ability to: Communicate clearly, concisely, and professionally, with a strong focus on audience appropriate business writing and verbal skills Demonstrate a positive attitude and passion for construction and our industry Gather data, interpret it into meaningful information, and relay that information through clear, concise communication strategies; ability to see how pieces and processes fit into and affect the bigger picture/business model Organize and manage tasks and priorities Demonstrate integrity consistently with The HITT Way and HITT's core values Seek continuous improvement of knowledge and abilities, internal focus on self-improvement Adapt and exercise flexibility with the ever-changing world of technology, design, means and methods Collaborate with people of various backgrounds and styles Create and maintain relationships with colleagues, clients, subcontractors, and vendors Exhibit respectfulness by being punctual, engaged/focused, and respectful of others HITT Contracting, Inc. is committed to creating a diverse and inclusive environment. We are proud to be an Equal Opportunity and Affirmative Action Employer providing opportunities to all employees and applicants without regard to race, sex, national origin, religion, age, disability, veteran status, genetic information, sexual orientation, gender identity and any other protected status in accordance with applicable law. Women, minorities, individuals with disabilities, veterans, and LGBTQ+ individuals are encouraged to apply. HITT Contracting, Inc. promotes a drug-free workplace.
314 Main Street (21020), United States of America, Cambridge, Massachusetts Senior Lead Engineer - Generative AI Product Engineering 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 Sr. Lead Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques. At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. 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 foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer 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).
04/20/2024
Full time
314 Main Street (21020), United States of America, Cambridge, Massachusetts Senior Lead Engineer - Generative AI Product Engineering 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 Sr. Lead Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services of our capabilities and enable real-time customer-facing applications powered by these capabilities. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience Enable our users to build new AI capabilities Develop tools and processes to monitor API access patterns and operational health. Design and implement AI safety and guardrails in the API layer working closely with researchers. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field. At least 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques. At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. 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 foundational capabilities Familiarity with deploying large neural network models in demanding production environments. Have experience with API security, observability, cloud access control and privacy best practices. 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): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer 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).