Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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. We are committed to continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).
06/25/2026
Full time
Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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. We are committed to continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).
What began as an idea between two brothers to open a Mexican restaurant has since grown into one of the largest, privately held Taco Bell franchisees in America. At Border Foods, we work with a people-first mantra. From cooks to cashiers to restaurant managers and beyond, we work together to bring to life the Core Values of Border Foods. Welcome to our family where you will continue to learn, evolve, and shape what comes next on our mission of making lives better. At Border Foods, our purpose is to Make Lives Better and it is at the foundation of all that we do. We are proud of our family culture that develops people and provides career growth in pristine restaurants where people aspire to work, guests desire to dine where Live Más comes to life. Your role as a Team Member is to feed people's lives with Más. You'll feed customers with great tasting food and provide great service, so our customers keep coming back! You're a representation of the brand in everything you do. What's in it for you? -Flexible scheduling -Top pay in the industry -Education programs, including GED and Tuition Reimbursement offerings -Scholarship opportunities -Medical/Dental/Vision benefits offered for all positions - even part-time! -Free food! -Vacation Time (Paid Time Off) -Vacation Donation Program -An incredible culture that encourages career growth and support Team Member Responsibilities: Food Champion - Prepare food ingredients - Assemble food orders and check to make sure orders are correct - Package products - Maintain a clean, safe work environment - Be knowledgeable about menu items and promotions Service Champion - Greet customers in the restaurant - Take orders - Handle payments and thank customers - Maintain a clean, safe working and dining environment - Be knowledgeable about menu items and promotions Priority Sequence - Safety - Service - Cleaning - Stocking Physical Demands: The physical demands for this position are sits, stands, bends, lifts, and moves intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodation. The duties of this position may change from time to time. Border Foods reserves the right to add or delete duties and responsibilities at the discretion of Border Foods or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. Border Foods is proud to be an Equal Opportunity Employer of Minorities, Women, Protected Veterans, and individuals with Disabilities and does not discriminate based on gender identity or sexual orientation. "You are applying for work with a franchisee of Taco Bell, not Taco Bell Corp. or any of its affiliates. If hired, the franchisee will be your only employer. Franchisees are independent business owners who set their own wage and benefit programs that can vary among franchisees." $10 per hour - $20 per hour
06/25/2026
Full time
What began as an idea between two brothers to open a Mexican restaurant has since grown into one of the largest, privately held Taco Bell franchisees in America. At Border Foods, we work with a people-first mantra. From cooks to cashiers to restaurant managers and beyond, we work together to bring to life the Core Values of Border Foods. Welcome to our family where you will continue to learn, evolve, and shape what comes next on our mission of making lives better. At Border Foods, our purpose is to Make Lives Better and it is at the foundation of all that we do. We are proud of our family culture that develops people and provides career growth in pristine restaurants where people aspire to work, guests desire to dine where Live Más comes to life. Your role as a Team Member is to feed people's lives with Más. You'll feed customers with great tasting food and provide great service, so our customers keep coming back! You're a representation of the brand in everything you do. What's in it for you? -Flexible scheduling -Top pay in the industry -Education programs, including GED and Tuition Reimbursement offerings -Scholarship opportunities -Medical/Dental/Vision benefits offered for all positions - even part-time! -Free food! -Vacation Time (Paid Time Off) -Vacation Donation Program -An incredible culture that encourages career growth and support Team Member Responsibilities: Food Champion - Prepare food ingredients - Assemble food orders and check to make sure orders are correct - Package products - Maintain a clean, safe work environment - Be knowledgeable about menu items and promotions Service Champion - Greet customers in the restaurant - Take orders - Handle payments and thank customers - Maintain a clean, safe working and dining environment - Be knowledgeable about menu items and promotions Priority Sequence - Safety - Service - Cleaning - Stocking Physical Demands: The physical demands for this position are sits, stands, bends, lifts, and moves intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodation. The duties of this position may change from time to time. Border Foods reserves the right to add or delete duties and responsibilities at the discretion of Border Foods or its managers. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. Border Foods is proud to be an Equal Opportunity Employer of Minorities, Women, Protected Veterans, and individuals with Disabilities and does not discriminate based on gender identity or sexual orientation. "You are applying for work with a franchisee of Taco Bell, not Taco Bell Corp. or any of its affiliates. If hired, the franchisee will be your only employer. Franchisees are independent business owners who set their own wage and benefit programs that can vary among franchisees." $10 per hour - $20 per hour
Location Name: Faris Residences Goose Creek Company Overview Asset Living is a third-party management firm and a proven partner in fostering thriving communities nationwide. Founded in 1986, Asset Living has decades of experience delivering exceptional value to our partners. Since the beginning, our undeniable passion has driven our organic growth from a small property management firm to one of the most trusted allies in real estate. Asset Living's growing portfolio includes a multitude of properties across the country that span the multifamily, single-family home rentals, affordable housing, build-to-rent, active adult, and student housing divisions. Asset Living is a fast-growing company made up of talented individuals from diverse backgrounds that differentiate us and help us drive innovation and results for our clients and communities across the US. At Asset Living, we wholeheartedly believe 'Together We Lead, Together We Succeed'. We empower each other to lead by example, collaborate, and evolve - inspired by our belief that we can continually improve as individuals and as an organization. Together, we create an environment where every voice is heard, every idea is valued, and every individual experiences opportunities to grow as our company grows. When you join Asset Living, you become part of a dynamic team that thrives on unity, unique talents, and a universal culture of winning. Recognized as one of the nation's Best and Brightest Places to Work and ranked in the NMHC top 50 professionals, join Asset Living because of its reputation as the most trusted partner in real estate, workplace culture, and growth opportunities. Asset Living is a member of The Institute of Real Estate Management (IREM) and is recognized as an Accredited Management Organization (AMO). Together, we lead the way, and together, we achieve excellence in all that we do. Join a workplace where success is a collective journey and leadership is a shared responsibility. Leasing Manager The Leasing Manager is responsible for overseeing all aspects of leasing and marketing at the property. The Leasing Manager works closely with the Community Manager to set leasing goals and develop a strategic marketing plan for achieving budgeted occupancy. The Leasing Manager is responsible for effectively leading the leasing team and accomplishing effective leasing, marketing, and positive resident relations. Essential Duties & Responsibilities Strategic Leasing Management Regular/daily onsite attendance is required Ensure staff leasing techniques are effective in obtaining closure, follow-up procedures met, signing/documentation of leases, and reporting systems are accurate and up to date. Audit all lease files to ensure adherence to policies and procedures Deal with resident complaints, concerns, and requests to ensure resident satisfaction Develop and implement resident retention programs (i.e., resident functions, special promotions, monthly newsletter, etc.) Effectively show, lease, and move in prospective residents Marketing Management Assist in developing the annual marketing plan and marketing budget Implement all marketing efforts and outreach, developing campaigns and assisting with design to generate traffic Monitor leasing/renewal progress, focusing on areas needing additional support Supervise the planning, preparation, and implementation of all leasing and renewal events as approved by the Community Manager Maintain thorough product knowledge of the property and competition as well as market conditions; complete weekly market survey report Utilize established sales and marketing strategies to increase property traffic, maintain closing ratios, and achieve budgeted occupancy. Personnel Management Assist the Community Manager in the use of consistent techniques & company directives to screen, hire, train, coach, and develop on-site staff. Assist the Community Manager in ensuring the effectiveness of staff through ongoing training, coaching, counseling, and guidance in compliance with Asset training benchmarks. Promote harmony and quality job performance of staff through support and effective leadership Ensure staff compliance and consistency with Company policies and procedures Administrative Management Manage excellent customer service and monitor service request turnaround and responsiveness of maintenance staff Maintain property appearance and ensure repairs are noted and completed on a timely basis (this requires regular property inspections and tours) Assist with supervision of all business functions related to operations Plan for and utilize property resources, equipment, and supplies economically (i.e., obtaining bids/pricing from vendors, suppliers, contractors, dealing with inadequate service, etc.) Education/experience High School Diploma or Equivalent; Bachelor's degree preferred or one year's experience in the housing industry; Ability to understand and perform all on-site software functions; basic computer skills required. Must have basic knowledge of Fair Housing Laws and OSHA requirements. Physical requirements While performing the duties of this job, the employee is regularly required to remain in a stationary position, often standing or sitting for prolonged periods, communicate with others to exchange information and repeat motions that may include wrists, hands, and/or fingers. The employee is frequently required to ascend/descend ladders, stairs, scaffolding, ramps, step stools, and the like, move about to accomplish tasks or move from one worksite to another, operate motor vehicles and/or golf carts, assess the accuracy, neatness, and thoroughness of the work assigned, traverse flat and non-flat terrain. The employee is occasionally required to move self into different positions to accomplish tasks in various environments including tight and confined spaces, work in an overhead position and reach, adjust or move objects of up to 25 lbs. in all directions, lift and place objects up to 25 lbs, operate machinery or power tools, identify and inspect objects, be able to work overtime, weekends, night hours (emergencies), work in extremely low or high temperatures, work in outdoor environments such as precipitation and wind, work in small and/or enclosed spaces, be exposed to hazardous chemicals. At Asset Living, a variety of factors are considered in making compensation decisions, including, but not limited to: skill set, background and training, certifications, etc. When selecting the top candidate to hire for a position, the offer we extend is dependent on the facts associated with each specific individual's relevant experience for the role. Our employment offer is accompanied by additional compensation associated with our comprehensive total rewards package, which includes benefits (medical, dental, vision, life, accidental, and disability insurance), 401K with employer matching, and commission and performance bonuses, when applicable. Full-time employees also receive paid sick days and company holidays. Salary Range : $18 per hour to $23 per hour This job description should not be considered all-inclusive. It is merely a guide of expected duties. The employee understands that the job description is neither complete nor permanent and may be modified at any time. At the request of their supervisor, an employee may be asked to perform additional duties or take on additional responsibilities without notice. This is a safety-sensitive position and may be subject to additional compliance requirements. PandoLogic. Category:Real Estate,
06/25/2026
Full time
Location Name: Faris Residences Goose Creek Company Overview Asset Living is a third-party management firm and a proven partner in fostering thriving communities nationwide. Founded in 1986, Asset Living has decades of experience delivering exceptional value to our partners. Since the beginning, our undeniable passion has driven our organic growth from a small property management firm to one of the most trusted allies in real estate. Asset Living's growing portfolio includes a multitude of properties across the country that span the multifamily, single-family home rentals, affordable housing, build-to-rent, active adult, and student housing divisions. Asset Living is a fast-growing company made up of talented individuals from diverse backgrounds that differentiate us and help us drive innovation and results for our clients and communities across the US. At Asset Living, we wholeheartedly believe 'Together We Lead, Together We Succeed'. We empower each other to lead by example, collaborate, and evolve - inspired by our belief that we can continually improve as individuals and as an organization. Together, we create an environment where every voice is heard, every idea is valued, and every individual experiences opportunities to grow as our company grows. When you join Asset Living, you become part of a dynamic team that thrives on unity, unique talents, and a universal culture of winning. Recognized as one of the nation's Best and Brightest Places to Work and ranked in the NMHC top 50 professionals, join Asset Living because of its reputation as the most trusted partner in real estate, workplace culture, and growth opportunities. Asset Living is a member of The Institute of Real Estate Management (IREM) and is recognized as an Accredited Management Organization (AMO). Together, we lead the way, and together, we achieve excellence in all that we do. Join a workplace where success is a collective journey and leadership is a shared responsibility. Leasing Manager The Leasing Manager is responsible for overseeing all aspects of leasing and marketing at the property. The Leasing Manager works closely with the Community Manager to set leasing goals and develop a strategic marketing plan for achieving budgeted occupancy. The Leasing Manager is responsible for effectively leading the leasing team and accomplishing effective leasing, marketing, and positive resident relations. Essential Duties & Responsibilities Strategic Leasing Management Regular/daily onsite attendance is required Ensure staff leasing techniques are effective in obtaining closure, follow-up procedures met, signing/documentation of leases, and reporting systems are accurate and up to date. Audit all lease files to ensure adherence to policies and procedures Deal with resident complaints, concerns, and requests to ensure resident satisfaction Develop and implement resident retention programs (i.e., resident functions, special promotions, monthly newsletter, etc.) Effectively show, lease, and move in prospective residents Marketing Management Assist in developing the annual marketing plan and marketing budget Implement all marketing efforts and outreach, developing campaigns and assisting with design to generate traffic Monitor leasing/renewal progress, focusing on areas needing additional support Supervise the planning, preparation, and implementation of all leasing and renewal events as approved by the Community Manager Maintain thorough product knowledge of the property and competition as well as market conditions; complete weekly market survey report Utilize established sales and marketing strategies to increase property traffic, maintain closing ratios, and achieve budgeted occupancy. Personnel Management Assist the Community Manager in the use of consistent techniques & company directives to screen, hire, train, coach, and develop on-site staff. Assist the Community Manager in ensuring the effectiveness of staff through ongoing training, coaching, counseling, and guidance in compliance with Asset training benchmarks. Promote harmony and quality job performance of staff through support and effective leadership Ensure staff compliance and consistency with Company policies and procedures Administrative Management Manage excellent customer service and monitor service request turnaround and responsiveness of maintenance staff Maintain property appearance and ensure repairs are noted and completed on a timely basis (this requires regular property inspections and tours) Assist with supervision of all business functions related to operations Plan for and utilize property resources, equipment, and supplies economically (i.e., obtaining bids/pricing from vendors, suppliers, contractors, dealing with inadequate service, etc.) Education/experience High School Diploma or Equivalent; Bachelor's degree preferred or one year's experience in the housing industry; Ability to understand and perform all on-site software functions; basic computer skills required. Must have basic knowledge of Fair Housing Laws and OSHA requirements. Physical requirements While performing the duties of this job, the employee is regularly required to remain in a stationary position, often standing or sitting for prolonged periods, communicate with others to exchange information and repeat motions that may include wrists, hands, and/or fingers. The employee is frequently required to ascend/descend ladders, stairs, scaffolding, ramps, step stools, and the like, move about to accomplish tasks or move from one worksite to another, operate motor vehicles and/or golf carts, assess the accuracy, neatness, and thoroughness of the work assigned, traverse flat and non-flat terrain. The employee is occasionally required to move self into different positions to accomplish tasks in various environments including tight and confined spaces, work in an overhead position and reach, adjust or move objects of up to 25 lbs. in all directions, lift and place objects up to 25 lbs, operate machinery or power tools, identify and inspect objects, be able to work overtime, weekends, night hours (emergencies), work in extremely low or high temperatures, work in outdoor environments such as precipitation and wind, work in small and/or enclosed spaces, be exposed to hazardous chemicals. At Asset Living, a variety of factors are considered in making compensation decisions, including, but not limited to: skill set, background and training, certifications, etc. When selecting the top candidate to hire for a position, the offer we extend is dependent on the facts associated with each specific individual's relevant experience for the role. Our employment offer is accompanied by additional compensation associated with our comprehensive total rewards package, which includes benefits (medical, dental, vision, life, accidental, and disability insurance), 401K with employer matching, and commission and performance bonuses, when applicable. Full-time employees also receive paid sick days and company holidays. Salary Range : $18 per hour to $23 per hour This job description should not be considered all-inclusive. It is merely a guide of expected duties. The employee understands that the job description is neither complete nor permanent and may be modified at any time. At the request of their supervisor, an employee may be asked to perform additional duties or take on additional responsibilities without notice. This is a safety-sensitive position and may be subject to additional compliance requirements. PandoLogic. Category:Real Estate,
Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable 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. 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. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model 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. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).
06/25/2026
Full time
Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable 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. 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. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model 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. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).
Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable 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. 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. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model AI Safety PhD focused on topics related to adversarial machine learning, red teaming and model alignment. Deep expertise in limit seeking security research, including deconstructing LLM architectures to identify novel attack surfaces like prompt injection, model inversion, and RAG poisoning. Proven track record of developing scalable evaluation suites and automated red teaming frameworks to move emerging academic threats into practical, real world defensive applications. Foundational research in high-stakes AI deployment, bridging the gap between AI Explainability, reliability, and the rigorous fine tuning required for real world use cases. Active contributor to the AI Safety discourse, with the ability to document technical vulnerabilities and their direct impact on model privacy, alignment, and organizational risk. 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. McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace . click apply for full job details
06/25/2026
Full time
Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable 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. 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. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model AI Safety PhD focused on topics related to adversarial machine learning, red teaming and model alignment. Deep expertise in limit seeking security research, including deconstructing LLM architectures to identify novel attack surfaces like prompt injection, model inversion, and RAG poisoning. Proven track record of developing scalable evaluation suites and automated red teaming frameworks to move emerging academic threats into practical, real world defensive applications. Foundational research in high-stakes AI deployment, bridging the gap between AI Explainability, reliability, and the rigorous fine tuning required for real world use cases. Active contributor to the AI Safety discourse, with the ability to document technical vulnerabilities and their direct impact on model privacy, alignment, and organizational risk. 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. McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace . click apply for full job details
Location Name: Tiburon Ridge Company Overview Asset Living is a third-party management firm and a proven partner in fostering thriving communities nationwide. Founded in 1986, Asset Living has decades of experience delivering exceptional value to our partners. Since the beginning, our undeniable passion has driven our organic growth from a small property management firm to one of the most trusted allies in real estate. Asset Living's growing portfolio includes a multitude of properties across the country that span the multifamily, single-family home rentals, affordable housing, build-to-rent, active adult, and student housing divisions. Asset Living is a fast-growing company made up of talented individuals from diverse backgrounds that differentiate us and help us drive innovation and results for our clients and communities across the US. At Asset Living, we wholeheartedly believe 'Together We Lead, Together We Succeed'. We empower each other to lead by example, collaborate, and evolve - inspired by our belief that we can continually improve as individuals and as an organization. Together, we create an environment where every voice is heard, every idea is valued, and every individual experiences opportunities to grow as our company grows. When you join Asset Living, you become part of a dynamic team that thrives on unity, unique talents, and a universal culture of winning. Recognized as one of the nation's Best and Brightest Places to Work and ranked in the NMHC top 50 professionals, join Asset Living because of its reputation as the most trusted partner in real estate, workplace culture, and growth opportunities. Asset Living is a member of The Institute of Real Estate Management (IREM) and is recognized as an Accredited Management Organization (AMO). Together, we lead the way, and together, we achieve excellence in all that we do. Join a workplace where success is a collective journey and leadership is a shared responsibility. Leasing Manager The Leasing Manager is responsible for overseeing all aspects of leasing and marketing at the property. The Leasing Manager works closely with the Community Manager to set leasing goals and develop a strategic marketing plan for achieving budgeted occupancy. The Leasing Manager is responsible for effectively leading the leasing team and accomplishing effective leasing, marketing, and positive resident relations. Essential Duties & Responsibilities Strategic Leasing Management Regular/daily onsite attendance is required Ensure staff leasing techniques are effective in obtaining closure, follow-up procedures met, signing/documentation of leases, and reporting systems are accurate and up to date. Audit all lease files to ensure adherence to policies and procedures Deal with resident complaints, concerns, and requests to ensure resident satisfaction Develop and implement resident retention programs (i.e., resident functions, special promotions, monthly newsletter, etc.) Effectively show, lease, and move in prospective residents Marketing Management Assist in developing the annual marketing plan and marketing budget Implement all marketing efforts and outreach, developing campaigns and assisting with design to generate traffic Monitor leasing/renewal progress, focusing on areas needing additional support Supervise the planning, preparation, and implementation of all leasing and renewal events as approved by the Community Manager Maintain thorough product knowledge of the property and competition as well as market conditions; complete weekly market survey report Utilize established sales and marketing strategies to increase property traffic, maintain closing ratios, and achieve budgeted occupancy. Personnel Management Assist the Community Manager in the use of consistent techniques & company directives to screen, hire, train, coach, and develop on-site staff. Assist the Community Manager in ensuring the effectiveness of staff through ongoing training, coaching, counseling, and guidance in compliance with Asset training benchmarks. Promote harmony and quality job performance of staff through support and effective leadership Ensure staff compliance and consistency with Company policies and procedures Administrative Management Manage excellent customer service and monitor service request turnaround and responsiveness of maintenance staff Maintain property appearance and ensure repairs are noted and completed on a timely basis (this requires regular property inspections and tours) Assist with supervision of all business functions related to operations Plan for and utilize property resources, equipment, and supplies economically (i.e., obtaining bids/pricing from vendors, suppliers, contractors, dealing with inadequate service, etc.) Education/experience High School Diploma or Equivalent; Bachelor's degree preferred or one year's experience in the housing industry; Ability to understand and perform all on-site software functions; basic computer skills required. Must have basic knowledge of Fair Housing Laws and OSHA requirements. Physical requirements While performing the duties of this job, the employee is regularly required to remain in a stationary position, often standing or sitting for prolonged periods, communicate with others to exchange information and repeat motions that may include wrists, hands, and/or fingers. The employee is frequently required to ascend/descend ladders, stairs, scaffolding, ramps, step stools, and the like, move about to accomplish tasks or move from one worksite to another, operate motor vehicles and/or golf carts, assess the accuracy, neatness, and thoroughness of the work assigned, traverse flat and non-flat terrain. The employee is occasionally required to move self into different positions to accomplish tasks in various environments including tight and confined spaces, work in an overhead position and reach, adjust or move objects of up to 25 lbs. in all directions, lift and place objects up to 25 lbs, operate machinery or power tools, identify and inspect objects, be able to work overtime, weekends, night hours (emergencies), work in extremely low or high temperatures, work in outdoor environments such as precipitation and wind, work in small and/or enclosed spaces, be exposed to hazardous chemicals. At Asset Living, a variety of factors are considered in making compensation decisions, including, but not limited to: skill set, background and training, certifications, etc. When selecting the top candidate to hire for a position, the offer we extend is dependent on the facts associated with each specific individual's relevant experience for the role. Our employment offer is accompanied by additional compensation associated with our comprehensive total rewards package, which includes benefits (medical, dental, vision, life, accidental, and disability insurance), 401K with employer matching, and commission and performance bonuses, when applicable. Full-time employees also receive paid sick days and company holidays. Salary Range : $20 per hour to $20 per hour This job description should not be considered all-inclusive. It is merely a guide of expected duties. The employee understands that the job description is neither complete nor permanent and may be modified at any time. At the request of their supervisor, an employee may be asked to perform additional duties or take on additional responsibilities without notice. This is a safety-sensitive position and may be subject to additional compliance requirements. PandoLogic. Category:Real Estate,
06/25/2026
Full time
Location Name: Tiburon Ridge Company Overview Asset Living is a third-party management firm and a proven partner in fostering thriving communities nationwide. Founded in 1986, Asset Living has decades of experience delivering exceptional value to our partners. Since the beginning, our undeniable passion has driven our organic growth from a small property management firm to one of the most trusted allies in real estate. Asset Living's growing portfolio includes a multitude of properties across the country that span the multifamily, single-family home rentals, affordable housing, build-to-rent, active adult, and student housing divisions. Asset Living is a fast-growing company made up of talented individuals from diverse backgrounds that differentiate us and help us drive innovation and results for our clients and communities across the US. At Asset Living, we wholeheartedly believe 'Together We Lead, Together We Succeed'. We empower each other to lead by example, collaborate, and evolve - inspired by our belief that we can continually improve as individuals and as an organization. Together, we create an environment where every voice is heard, every idea is valued, and every individual experiences opportunities to grow as our company grows. When you join Asset Living, you become part of a dynamic team that thrives on unity, unique talents, and a universal culture of winning. Recognized as one of the nation's Best and Brightest Places to Work and ranked in the NMHC top 50 professionals, join Asset Living because of its reputation as the most trusted partner in real estate, workplace culture, and growth opportunities. Asset Living is a member of The Institute of Real Estate Management (IREM) and is recognized as an Accredited Management Organization (AMO). Together, we lead the way, and together, we achieve excellence in all that we do. Join a workplace where success is a collective journey and leadership is a shared responsibility. Leasing Manager The Leasing Manager is responsible for overseeing all aspects of leasing and marketing at the property. The Leasing Manager works closely with the Community Manager to set leasing goals and develop a strategic marketing plan for achieving budgeted occupancy. The Leasing Manager is responsible for effectively leading the leasing team and accomplishing effective leasing, marketing, and positive resident relations. Essential Duties & Responsibilities Strategic Leasing Management Regular/daily onsite attendance is required Ensure staff leasing techniques are effective in obtaining closure, follow-up procedures met, signing/documentation of leases, and reporting systems are accurate and up to date. Audit all lease files to ensure adherence to policies and procedures Deal with resident complaints, concerns, and requests to ensure resident satisfaction Develop and implement resident retention programs (i.e., resident functions, special promotions, monthly newsletter, etc.) Effectively show, lease, and move in prospective residents Marketing Management Assist in developing the annual marketing plan and marketing budget Implement all marketing efforts and outreach, developing campaigns and assisting with design to generate traffic Monitor leasing/renewal progress, focusing on areas needing additional support Supervise the planning, preparation, and implementation of all leasing and renewal events as approved by the Community Manager Maintain thorough product knowledge of the property and competition as well as market conditions; complete weekly market survey report Utilize established sales and marketing strategies to increase property traffic, maintain closing ratios, and achieve budgeted occupancy. Personnel Management Assist the Community Manager in the use of consistent techniques & company directives to screen, hire, train, coach, and develop on-site staff. Assist the Community Manager in ensuring the effectiveness of staff through ongoing training, coaching, counseling, and guidance in compliance with Asset training benchmarks. Promote harmony and quality job performance of staff through support and effective leadership Ensure staff compliance and consistency with Company policies and procedures Administrative Management Manage excellent customer service and monitor service request turnaround and responsiveness of maintenance staff Maintain property appearance and ensure repairs are noted and completed on a timely basis (this requires regular property inspections and tours) Assist with supervision of all business functions related to operations Plan for and utilize property resources, equipment, and supplies economically (i.e., obtaining bids/pricing from vendors, suppliers, contractors, dealing with inadequate service, etc.) Education/experience High School Diploma or Equivalent; Bachelor's degree preferred or one year's experience in the housing industry; Ability to understand and perform all on-site software functions; basic computer skills required. Must have basic knowledge of Fair Housing Laws and OSHA requirements. Physical requirements While performing the duties of this job, the employee is regularly required to remain in a stationary position, often standing or sitting for prolonged periods, communicate with others to exchange information and repeat motions that may include wrists, hands, and/or fingers. The employee is frequently required to ascend/descend ladders, stairs, scaffolding, ramps, step stools, and the like, move about to accomplish tasks or move from one worksite to another, operate motor vehicles and/or golf carts, assess the accuracy, neatness, and thoroughness of the work assigned, traverse flat and non-flat terrain. The employee is occasionally required to move self into different positions to accomplish tasks in various environments including tight and confined spaces, work in an overhead position and reach, adjust or move objects of up to 25 lbs. in all directions, lift and place objects up to 25 lbs, operate machinery or power tools, identify and inspect objects, be able to work overtime, weekends, night hours (emergencies), work in extremely low or high temperatures, work in outdoor environments such as precipitation and wind, work in small and/or enclosed spaces, be exposed to hazardous chemicals. At Asset Living, a variety of factors are considered in making compensation decisions, including, but not limited to: skill set, background and training, certifications, etc. When selecting the top candidate to hire for a position, the offer we extend is dependent on the facts associated with each specific individual's relevant experience for the role. Our employment offer is accompanied by additional compensation associated with our comprehensive total rewards package, which includes benefits (medical, dental, vision, life, accidental, and disability insurance), 401K with employer matching, and commission and performance bonuses, when applicable. Full-time employees also receive paid sick days and company holidays. Salary Range : $20 per hour to $20 per hour This job description should not be considered all-inclusive. It is merely a guide of expected duties. The employee understands that the job description is neither complete nor permanent and may be modified at any time. At the request of their supervisor, an employee may be asked to perform additional duties or take on additional responsibilities without notice. This is a safety-sensitive position and may be subject to additional compliance requirements. PandoLogic. Category:Real Estate,
Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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. We are committed to continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).
06/25/2026
Full time
Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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. We are committed to continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 Description Job Description The Electrical Project Manager contributes to the overall success of CR Meyer and its heavy industrial customers throughout the planning, budgeting, construction and post-construction project phases. Uses experience and knowledge of electrical construction principles to ensure all goals or objectives of the project are accomplished within CR Meyer's safety guidelines, as well as all designated quality, schedule and budget requirements. Provides leadership to the project team and works with all other interested parties to ensure ultimate customer satisfaction. Works collaboratively with heavy industrial/manufacturing customers, as well as the CR Meyer Design/Build team, in estimating and executing electrical construction projects. Using knowledge of electrical construction principles, prepares and provides bids to customers using approved design specifications. Follows-up with customers on bid proposals and executes all paperwork to secure commitment to initiate the project. Establishes budgets, timelines and overall goals for construction project execution. Takes an active role in the implementation of the CR Meyer Risk Control Plan for all projects, and leads the effort to establish and maintain a safe job site working with the customer, on-site staff, Safety Coordinator, and the whole project team. Obtains all permits and ensures that the project is within federal, state and local regulatory requirements at all times. Conducts routine site visits for plan implementation, reviewing budget status, determining progress, communicating with the on-site team and ensuring safety/compliance standards. Develops the electrical project team to include subcontractors and vendors and schedules and manages their services. Ensures that the project has all assigned equipment, tools, supplies and other resources needed to complete the job. Prepares POs for all electrical project-related expenses, oversees and approves labor hours, expense sheets, invoicing and is responsible for receivables management. Provides periodic updates and regularly communicates with the customer, project team, field staff, subcontractors and all other interested parties to ensure construction projects stay within specifications, schedule and budget through completion. Plays an active role in tracking and communicating electrical productivity factors with the site leadership team or site supervision. Documents electrical productivity factors for future reference. Learns and uses CR Meyer provided software to prepare all required documents and project management updates. Ensures that the proper QA/QC standards and procedures required for the project are implemented and within CR Meyer guidelines. Works with the Design/Build team on "means and methods" engineering controls. At project completion, oversees the preparation of the final project punch list for the customers' review and ensures that it is properly completed. Properly documents completed projects to use as a reference in the future. Wears all assigned PPE and observes CR Meyer safety guidelines at all times. Due to project deadlines and demands, regular and reliable attendance is required. Completes all related reports and paperwork in a timely manner. Represents the CR Meyer brand in a positive, professional manner at all times. All other duties as assigned. Thank you for your interest in employment opportunities with CR Meyer! CR Meyer is a well-respected employer in our area that offers an industry-leading compensation and benefit package to the right candidate. In order to fully consider your qualifications, please take the time to complete this brief application form and attach your current resume. We appreciate the time you take to apply, so we aim to keep this process as simple and straightforward as possible. If you have any questions about the application process or require assistance, please feel free to contact us at . Company Description CR Meyer is an industrial general contractor headquartered in Oshkosh, WI, with eight regional offices strategically located throughout the United States. We are trusted experts in nine market sectors, including: pulp and paper, food and beverage, hydro/power generation, maintenance services, mining, converting/printing/plastics/packaging, oil and gas, scrap and recycling, and general industrial services. With over 125 years of expertise, we design solutions that control project costs, maximize productivity, and provide construction crews with the tools necessary to perform their jobs safely and efficiently. CR Meyer consistently ranks in the top 5 contractors in the pulp and paper industry and in the top 20 industrial contractors by Engineering News Record (ENR), as well as placing in the publication's Top 400 Contractors year on year. Established in 1888 by Charles Rudolph Meyer in Oshkosh, WI, CR Meyer has grown to directly employ 900 to 1,500 skilled union tradespeople. We are experts in self-performed boilermaking, carpentry, concrete, demolition, ironworking, masonry, millwrighting and rigging, pile driving and pipefitting. CR Meyer's engineers, architects and project managers creatively partner with customers to build their vision - safely, accurately, efficiently and within budget. We offer a family-oriented atmosphere that spans the experience of over three generations of families. Our supportive culture is based on teamwork and collaboration. As we strive to achieve our business objectives, we aim to protect the health and well-being of our employees. In return, our employees share our passion for construction by delivering superior service to the many customers who have trusted us for decades. Company Description CR Meyer is an industrial general contractor headquartered in Oshkosh, WI, with eight regional offices strategically located throughout the United States. We are trusted experts in nine market sectors, including: pulp and paper, food and beverage, hydro/power generation, maintenance services, mining, converting/printing/plastics/packaging, oil and gas, scrap and recycling, and general industrial services. With over 125 years of expertise, we design solutions that control project costs, maximize productivity, and provide construction crews with the tools necessary to perform their jobs safely and efficiently. CR Meyer consistently ranks in the top 5 contractors in the pulp and paper industry and in the top 20 industrial contractors by Engineering News Record (ENR), as well as placing in the publication's Top 400 Contractors year on year. Established in 1888 by Charles Rudolph Meyer in Oshkosh, WI, CR Meyer has grown to directly employ 900 to 1,500 skilled union tradespeople. We are experts in self-performed boilermaking, carpentry, concrete, demolition, ironworking, masonry, millwrighting and rigging, pile driving and pipefitting. CR Meyer's engineers, architects and project managers creatively partner with customers to build their vision - safely, accurately, efficiently and within budget. We offer a family-oriented atmosphere that spans the experience of over three generations of families. Our supportive culture is based on teamwork and collaboration. As we strive to achieve our business objectives, we aim to protect the health and well-being of our employees. In return, our employees share our passion for construction by delivering superior service to the many customers who have trusted us for decades.
06/25/2026
Full time
Job Description Job Description The Electrical Project Manager contributes to the overall success of CR Meyer and its heavy industrial customers throughout the planning, budgeting, construction and post-construction project phases. Uses experience and knowledge of electrical construction principles to ensure all goals or objectives of the project are accomplished within CR Meyer's safety guidelines, as well as all designated quality, schedule and budget requirements. Provides leadership to the project team and works with all other interested parties to ensure ultimate customer satisfaction. Works collaboratively with heavy industrial/manufacturing customers, as well as the CR Meyer Design/Build team, in estimating and executing electrical construction projects. Using knowledge of electrical construction principles, prepares and provides bids to customers using approved design specifications. Follows-up with customers on bid proposals and executes all paperwork to secure commitment to initiate the project. Establishes budgets, timelines and overall goals for construction project execution. Takes an active role in the implementation of the CR Meyer Risk Control Plan for all projects, and leads the effort to establish and maintain a safe job site working with the customer, on-site staff, Safety Coordinator, and the whole project team. Obtains all permits and ensures that the project is within federal, state and local regulatory requirements at all times. Conducts routine site visits for plan implementation, reviewing budget status, determining progress, communicating with the on-site team and ensuring safety/compliance standards. Develops the electrical project team to include subcontractors and vendors and schedules and manages their services. Ensures that the project has all assigned equipment, tools, supplies and other resources needed to complete the job. Prepares POs for all electrical project-related expenses, oversees and approves labor hours, expense sheets, invoicing and is responsible for receivables management. Provides periodic updates and regularly communicates with the customer, project team, field staff, subcontractors and all other interested parties to ensure construction projects stay within specifications, schedule and budget through completion. Plays an active role in tracking and communicating electrical productivity factors with the site leadership team or site supervision. Documents electrical productivity factors for future reference. Learns and uses CR Meyer provided software to prepare all required documents and project management updates. Ensures that the proper QA/QC standards and procedures required for the project are implemented and within CR Meyer guidelines. Works with the Design/Build team on "means and methods" engineering controls. At project completion, oversees the preparation of the final project punch list for the customers' review and ensures that it is properly completed. Properly documents completed projects to use as a reference in the future. Wears all assigned PPE and observes CR Meyer safety guidelines at all times. Due to project deadlines and demands, regular and reliable attendance is required. Completes all related reports and paperwork in a timely manner. Represents the CR Meyer brand in a positive, professional manner at all times. All other duties as assigned. Thank you for your interest in employment opportunities with CR Meyer! CR Meyer is a well-respected employer in our area that offers an industry-leading compensation and benefit package to the right candidate. In order to fully consider your qualifications, please take the time to complete this brief application form and attach your current resume. We appreciate the time you take to apply, so we aim to keep this process as simple and straightforward as possible. If you have any questions about the application process or require assistance, please feel free to contact us at . Company Description CR Meyer is an industrial general contractor headquartered in Oshkosh, WI, with eight regional offices strategically located throughout the United States. We are trusted experts in nine market sectors, including: pulp and paper, food and beverage, hydro/power generation, maintenance services, mining, converting/printing/plastics/packaging, oil and gas, scrap and recycling, and general industrial services. With over 125 years of expertise, we design solutions that control project costs, maximize productivity, and provide construction crews with the tools necessary to perform their jobs safely and efficiently. CR Meyer consistently ranks in the top 5 contractors in the pulp and paper industry and in the top 20 industrial contractors by Engineering News Record (ENR), as well as placing in the publication's Top 400 Contractors year on year. Established in 1888 by Charles Rudolph Meyer in Oshkosh, WI, CR Meyer has grown to directly employ 900 to 1,500 skilled union tradespeople. We are experts in self-performed boilermaking, carpentry, concrete, demolition, ironworking, masonry, millwrighting and rigging, pile driving and pipefitting. CR Meyer's engineers, architects and project managers creatively partner with customers to build their vision - safely, accurately, efficiently and within budget. We offer a family-oriented atmosphere that spans the experience of over three generations of families. Our supportive culture is based on teamwork and collaboration. As we strive to achieve our business objectives, we aim to protect the health and well-being of our employees. In return, our employees share our passion for construction by delivering superior service to the many customers who have trusted us for decades. Company Description CR Meyer is an industrial general contractor headquartered in Oshkosh, WI, with eight regional offices strategically located throughout the United States. We are trusted experts in nine market sectors, including: pulp and paper, food and beverage, hydro/power generation, maintenance services, mining, converting/printing/plastics/packaging, oil and gas, scrap and recycling, and general industrial services. With over 125 years of expertise, we design solutions that control project costs, maximize productivity, and provide construction crews with the tools necessary to perform their jobs safely and efficiently. CR Meyer consistently ranks in the top 5 contractors in the pulp and paper industry and in the top 20 industrial contractors by Engineering News Record (ENR), as well as placing in the publication's Top 400 Contractors year on year. Established in 1888 by Charles Rudolph Meyer in Oshkosh, WI, CR Meyer has grown to directly employ 900 to 1,500 skilled union tradespeople. We are experts in self-performed boilermaking, carpentry, concrete, demolition, ironworking, masonry, millwrighting and rigging, pile driving and pipefitting. CR Meyer's engineers, architects and project managers creatively partner with customers to build their vision - safely, accurately, efficiently and within budget. We offer a family-oriented atmosphere that spans the experience of over three generations of families. Our supportive culture is based on teamwork and collaboration. As we strive to achieve our business objectives, we aim to protect the health and well-being of our employees. In return, our employees share our passion for construction by delivering superior service to the many customers who have trusted us for decades.
Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable 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. 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. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model 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. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).
06/25/2026
Full time
Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable 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. 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. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model 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. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).
Senior Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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. We are committed to continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).
06/25/2026
Full time
Senior Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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. We are committed to continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).
Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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. We are committed to continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).
06/25/2026
Full time
Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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. We are committed to continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).
Applied Researcher I (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable 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. 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. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model 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. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).
06/25/2026
Full time
Applied Researcher I (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable 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. 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. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model 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. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 Description Job Description The Electrical Safety Manager contributes to the overall success of CR Meyer's Electrical Division and its heavy industrial customers through assisting the construction project management team in all matters pertaining to risk management, health and safety. Responsible for implementing the CR Meyer Risk Management program as it relates to specific electrical construction projects, acting as a resource to management, administrative and field staff and ensuring compliance through effective partnering and leadership. Acts as a resource to all CR Meyer management, administrative and field staff in interpretation, administration and compliance with the CR Meyer Risk Management program as it relates to the electrical services provided by the organization. Acts as a subject matter expert (SME) on electrical safety to all CR Meyer staff. Provides guidance on all electrical safety protocols, policies and procedures. Assists the company is developing, maintaining and overseeing all electrical-related training programs. Delivers training as needed on-site. Works with Project Managers and other construction staff on pre-project electrical safety planning. Develops an understanding of customers' site-specific safety requirements. Ensures that CR Meyer and all subcontractors meets or exceed those expectations. Conducts routine site visits to build rapport and conduct site audits. Makes recommendations and acclamations both verbally and in writing. Follows-up to ensure correction and if needed, issues warnings of persistent, uncorrected unsafe conditions. The Electrical Safety Manager has the authority to order a work suspension in situations where imminent danger or serious hazards exist. Provides on-site training as needed in electrical safety-related matters. Coaches others on proper electrical safety techniques and guidelines. Leads by personal example and is a strong advocate for the CR Meyer Mission-Vision-Values and Code of Conduct. Assists with organizing and providing all relevant safety-related training for CR Meyer management, administrative and field staff. Prepares and maintains all electrical-related accident documentation, including preparation of reports and notification to all parties. Conducts post-accident and near-miss investigations of electrical-related incidents. Participates in employee coaching sessions, providing support and guidance to field supervisors on properly documenting safety concerns. Assists in the coordination of emergency response, such as first aid, medical, fire protection, evacuation, and fire alarms as well as on-site construction security procedures. Coordinates with emergency response personnel, transports injured employees to the clinic and coordinates post-accident follow-up. Maintain safety supplies/PPE as needed for each job site, orders supplies and assists employees with questions on proper use. Ensures all CR Meyer PPE meets the specific requirements of the electrical trades. Leads by example observing and promoting CR Meyer safety guidelines at all times. Due to project deadlines and demands, regular and reliable attendance is required. Completes all related reports and paperwork in a timely manner. Represents the CR Meyer brand in a positive, professional manner at all times. All other duties as assigned. Thank you for your interest in employment opportunities with CR Meyer! CR Meyer is a well-respected employer in our area that offers an industry-leading compensation and benefit package to the right candidate. In order to fully consider your qualifications, please take the time to complete this brief application form and attach your current resume. We appreciate the time you take to apply, so we aim to keep this process as simple and straightforward as possible. If you have any questions about the application process or require assistance, please feel free to contact us at . Company Description CR Meyer is an industrial general contractor headquartered in Oshkosh, WI, with eight regional offices strategically located throughout the United States. We are trusted experts in nine market sectors, including: pulp and paper, food and beverage, hydro/power generation, maintenance services, mining, converting/printing/plastics/packaging, oil and gas, scrap and recycling, and general industrial services. With over 125 years of expertise, we design solutions that control project costs, maximize productivity, and provide construction crews with the tools necessary to perform their jobs safely and efficiently. CR Meyer consistently ranks in the top 5 contractors in the pulp and paper industry and in the top 20 industrial contractors by Engineering News Record (ENR), as well as placing in the publication's Top 400 Contractors year on year. Established in 1888 by Charles Rudolph Meyer in Oshkosh, WI, CR Meyer has grown to directly employ 900 to 1,500 skilled union tradespeople. We are experts in self-performed boilermaking, carpentry, concrete, demolition, ironworking, masonry, millwrighting and rigging, pile driving and pipefitting. CR Meyer's engineers, architects and project managers creatively partner with customers to build their vision - safely, accurately, efficiently and within budget. We offer a family-oriented atmosphere that spans the experience of over three generations of families. Our supportive culture is based on teamwork and collaboration. As we strive to achieve our business objectives, we aim to protect the health and well-being of our employees. In return, our employees share our passion for construction by delivering superior service to the many customers who have trusted us for decades. Company Description CR Meyer is an industrial general contractor headquartered in Oshkosh, WI, with eight regional offices strategically located throughout the United States. We are trusted experts in nine market sectors, including: pulp and paper, food and beverage, hydro/power generation, maintenance services, mining, converting/printing/plastics/packaging, oil and gas, scrap and recycling, and general industrial services. With over 125 years of expertise, we design solutions that control project costs, maximize productivity, and provide construction crews with the tools necessary to perform their jobs safely and efficiently. CR Meyer consistently ranks in the top 5 contractors in the pulp and paper industry and in the top 20 industrial contractors by Engineering News Record (ENR), as well as placing in the publication's Top 400 Contractors year on year. Established in 1888 by Charles Rudolph Meyer in Oshkosh, WI, CR Meyer has grown to directly employ 900 to 1,500 skilled union tradespeople. We are experts in self-performed boilermaking, carpentry, concrete, demolition, ironworking, masonry, millwrighting and rigging, pile driving and pipefitting. CR Meyer's engineers, architects and project managers creatively partner with customers to build their vision - safely, accurately, efficiently and within budget. We offer a family-oriented atmosphere that spans the experience of over three generations of families. Our supportive culture is based on teamwork and collaboration. As we strive to achieve our business objectives, we aim to protect the health and well-being of our employees. In return, our employees share our passion for construction by delivering superior service to the many customers who have trusted us for decades.
06/25/2026
Full time
Job Description Job Description The Electrical Safety Manager contributes to the overall success of CR Meyer's Electrical Division and its heavy industrial customers through assisting the construction project management team in all matters pertaining to risk management, health and safety. Responsible for implementing the CR Meyer Risk Management program as it relates to specific electrical construction projects, acting as a resource to management, administrative and field staff and ensuring compliance through effective partnering and leadership. Acts as a resource to all CR Meyer management, administrative and field staff in interpretation, administration and compliance with the CR Meyer Risk Management program as it relates to the electrical services provided by the organization. Acts as a subject matter expert (SME) on electrical safety to all CR Meyer staff. Provides guidance on all electrical safety protocols, policies and procedures. Assists the company is developing, maintaining and overseeing all electrical-related training programs. Delivers training as needed on-site. Works with Project Managers and other construction staff on pre-project electrical safety planning. Develops an understanding of customers' site-specific safety requirements. Ensures that CR Meyer and all subcontractors meets or exceed those expectations. Conducts routine site visits to build rapport and conduct site audits. Makes recommendations and acclamations both verbally and in writing. Follows-up to ensure correction and if needed, issues warnings of persistent, uncorrected unsafe conditions. The Electrical Safety Manager has the authority to order a work suspension in situations where imminent danger or serious hazards exist. Provides on-site training as needed in electrical safety-related matters. Coaches others on proper electrical safety techniques and guidelines. Leads by personal example and is a strong advocate for the CR Meyer Mission-Vision-Values and Code of Conduct. Assists with organizing and providing all relevant safety-related training for CR Meyer management, administrative and field staff. Prepares and maintains all electrical-related accident documentation, including preparation of reports and notification to all parties. Conducts post-accident and near-miss investigations of electrical-related incidents. Participates in employee coaching sessions, providing support and guidance to field supervisors on properly documenting safety concerns. Assists in the coordination of emergency response, such as first aid, medical, fire protection, evacuation, and fire alarms as well as on-site construction security procedures. Coordinates with emergency response personnel, transports injured employees to the clinic and coordinates post-accident follow-up. Maintain safety supplies/PPE as needed for each job site, orders supplies and assists employees with questions on proper use. Ensures all CR Meyer PPE meets the specific requirements of the electrical trades. Leads by example observing and promoting CR Meyer safety guidelines at all times. Due to project deadlines and demands, regular and reliable attendance is required. Completes all related reports and paperwork in a timely manner. Represents the CR Meyer brand in a positive, professional manner at all times. All other duties as assigned. Thank you for your interest in employment opportunities with CR Meyer! CR Meyer is a well-respected employer in our area that offers an industry-leading compensation and benefit package to the right candidate. In order to fully consider your qualifications, please take the time to complete this brief application form and attach your current resume. We appreciate the time you take to apply, so we aim to keep this process as simple and straightforward as possible. If you have any questions about the application process or require assistance, please feel free to contact us at . Company Description CR Meyer is an industrial general contractor headquartered in Oshkosh, WI, with eight regional offices strategically located throughout the United States. We are trusted experts in nine market sectors, including: pulp and paper, food and beverage, hydro/power generation, maintenance services, mining, converting/printing/plastics/packaging, oil and gas, scrap and recycling, and general industrial services. With over 125 years of expertise, we design solutions that control project costs, maximize productivity, and provide construction crews with the tools necessary to perform their jobs safely and efficiently. CR Meyer consistently ranks in the top 5 contractors in the pulp and paper industry and in the top 20 industrial contractors by Engineering News Record (ENR), as well as placing in the publication's Top 400 Contractors year on year. Established in 1888 by Charles Rudolph Meyer in Oshkosh, WI, CR Meyer has grown to directly employ 900 to 1,500 skilled union tradespeople. We are experts in self-performed boilermaking, carpentry, concrete, demolition, ironworking, masonry, millwrighting and rigging, pile driving and pipefitting. CR Meyer's engineers, architects and project managers creatively partner with customers to build their vision - safely, accurately, efficiently and within budget. We offer a family-oriented atmosphere that spans the experience of over three generations of families. Our supportive culture is based on teamwork and collaboration. As we strive to achieve our business objectives, we aim to protect the health and well-being of our employees. In return, our employees share our passion for construction by delivering superior service to the many customers who have trusted us for decades. Company Description CR Meyer is an industrial general contractor headquartered in Oshkosh, WI, with eight regional offices strategically located throughout the United States. We are trusted experts in nine market sectors, including: pulp and paper, food and beverage, hydro/power generation, maintenance services, mining, converting/printing/plastics/packaging, oil and gas, scrap and recycling, and general industrial services. With over 125 years of expertise, we design solutions that control project costs, maximize productivity, and provide construction crews with the tools necessary to perform their jobs safely and efficiently. CR Meyer consistently ranks in the top 5 contractors in the pulp and paper industry and in the top 20 industrial contractors by Engineering News Record (ENR), as well as placing in the publication's Top 400 Contractors year on year. Established in 1888 by Charles Rudolph Meyer in Oshkosh, WI, CR Meyer has grown to directly employ 900 to 1,500 skilled union tradespeople. We are experts in self-performed boilermaking, carpentry, concrete, demolition, ironworking, masonry, millwrighting and rigging, pile driving and pipefitting. CR Meyer's engineers, architects and project managers creatively partner with customers to build their vision - safely, accurately, efficiently and within budget. We offer a family-oriented atmosphere that spans the experience of over three generations of families. Our supportive culture is based on teamwork and collaboration. As we strive to achieve our business objectives, we aim to protect the health and well-being of our employees. In return, our employees share our passion for construction by delivering superior service to the many customers who have trusted us for decades.
Location Name: Berkshire 54 Company Overview Asset Living is a third-party management firm and a proven partner in fostering thriving communities nationwide. Founded in 1986, Asset Living has decades of experience delivering exceptional value to our partners. Since the beginning, our undeniable passion has driven our organic growth from a small property management firm to one of the most trusted allies in real estate. Asset Living's growing portfolio includes a multitude of properties across the country that span the multifamily, single-family home rentals, affordable housing, build-to-rent, active adult, and student housing divisions. Asset Living is a fast-growing company made up of talented individuals from diverse backgrounds that differentiate us and help us drive innovation and results for our clients and communities across the US. At Asset Living, we wholeheartedly believe 'Together We Lead, Together We Succeed'. We empower each other to lead by example, collaborate, and evolve - inspired by our belief that we can continually improve as individuals and as an organization. Together, we create an environment where every voice is heard, every idea is valued, and every individual experiences opportunities to grow as our company grows. When you join Asset Living, you become part of a dynamic team that thrives on unity, unique talents, and a universal culture of winning. Recognized as one of the nation's Best and Brightest Places to Work and ranked in the NMHC top 50 professionals, join Asset Living because of its reputation as the most trusted partner in real estate, workplace culture, and growth opportunities. Asset Living is a member of The Institute of Real Estate Management (IREM) and is recognized as an Accredited Management Organization (AMO). Together, we lead the way, and together, we achieve excellence in all that we do. Join a workplace where success is a collective journey and leadership is a shared responsibility. Leasing Manager The Leasing Manager is responsible for overseeing all aspects of leasing and marketing at the property. The Leasing Manager works closely with the Community Manager to set leasing goals and develop a strategic marketing plan for achieving budgeted occupancy. The Leasing Manager is responsible for effectively leading the leasing team and accomplishing effective leasing, marketing, and positive resident relations. Essential Duties & Responsibilities Strategic Leasing Management Regular/daily onsite attendance is required Ensure staff leasing techniques are effective in obtaining closure, follow-up procedures met, signing/documentation of leases, and reporting systems are accurate and up to date. Audit all lease files to ensure adherence to policies and procedures Deal with resident complaints, concerns, and requests to ensure resident satisfaction Develop and implement resident retention programs (i.e., resident functions, special promotions, monthly newsletter, etc.) Effectively show, lease, and move in prospective residents Marketing Management Assist in developing the annual marketing plan and marketing budget Implement all marketing efforts and outreach, developing campaigns and assisting with design to generate traffic Monitor leasing/renewal progress, focusing on areas needing additional support Supervise the planning, preparation, and implementation of all leasing and renewal events as approved by the Community Manager Maintain thorough product knowledge of the property and competition as well as market conditions; complete weekly market survey report Utilize established sales and marketing strategies to increase property traffic, maintain closing ratios, and achieve budgeted occupancy. Personnel Management Assist the Community Manager in the use of consistent techniques & company directives to screen, hire, train, coach, and develop on-site staff. Assist the Community Manager in ensuring the effectiveness of staff through ongoing training, coaching, counseling, and guidance in compliance with Asset training benchmarks. Promote harmony and quality job performance of staff through support and effective leadership Ensure staff compliance and consistency with Company policies and procedures Administrative Management Manage excellent customer service and monitor service request turnaround and responsiveness of maintenance staff Maintain property appearance and ensure repairs are noted and completed on a timely basis (this requires regular property inspections and tours) Assist with supervision of all business functions related to operations Plan for and utilize property resources, equipment, and supplies economically (i.e., obtaining bids/pricing from vendors, suppliers, contractors, dealing with inadequate service, etc.) Education/experience High School Diploma or Equivalent; Bachelor's degree preferred or one year's experience in the housing industry; Ability to understand and perform all on-site software functions; basic computer skills required. Must have basic knowledge of Fair Housing Laws and OSHA requirements. Physical requirements While performing the duties of this job, the employee is regularly required to remain in a stationary position, often standing or sitting for prolonged periods, communicate with others to exchange information and repeat motions that may include wrists, hands, and/or fingers. The employee is frequently required to ascend/descend ladders, stairs, scaffolding, ramps, step stools, and the like, move about to accomplish tasks or move from one worksite to another, operate motor vehicles and/or golf carts, assess the accuracy, neatness, and thoroughness of the work assigned, traverse flat and non-flat terrain. The employee is occasionally required to move self into different positions to accomplish tasks in various environments including tight and confined spaces, work in an overhead position and reach, adjust or move objects of up to 25 lbs. in all directions, lift and place objects up to 25 lbs, operate machinery or power tools, identify and inspect objects, be able to work overtime, weekends, night hours (emergencies), work in extremely low or high temperatures, work in outdoor environments such as precipitation and wind, work in small and/or enclosed spaces, be exposed to hazardous chemicals. At Asset Living, a variety of factors are considered in making compensation decisions, including, but not limited to: skill set, background and training, certifications, etc. When selecting the top candidate to hire for a position, the offer we extend is dependent on the facts associated with each specific individual's relevant experience for the role. Our employment offer is accompanied by additional compensation associated with our comprehensive total rewards package, which includes benefits (medical, dental, vision, life, accidental, and disability insurance), 401K with employer matching, and commission and performance bonuses, when applicable. Full-time employees also receive paid sick days and company holidays. Salary Range : $16 per hour to $19 per hour This job description should not be considered all-inclusive. It is merely a guide of expected duties. The employee understands that the job description is neither complete nor permanent and may be modified at any time. At the request of their supervisor, an employee may be asked to perform additional duties or take on additional responsibilities without notice. This is a safety-sensitive position and may be subject to additional compliance requirements. PandoLogic. Category:Real Estate,
06/25/2026
Full time
Location Name: Berkshire 54 Company Overview Asset Living is a third-party management firm and a proven partner in fostering thriving communities nationwide. Founded in 1986, Asset Living has decades of experience delivering exceptional value to our partners. Since the beginning, our undeniable passion has driven our organic growth from a small property management firm to one of the most trusted allies in real estate. Asset Living's growing portfolio includes a multitude of properties across the country that span the multifamily, single-family home rentals, affordable housing, build-to-rent, active adult, and student housing divisions. Asset Living is a fast-growing company made up of talented individuals from diverse backgrounds that differentiate us and help us drive innovation and results for our clients and communities across the US. At Asset Living, we wholeheartedly believe 'Together We Lead, Together We Succeed'. We empower each other to lead by example, collaborate, and evolve - inspired by our belief that we can continually improve as individuals and as an organization. Together, we create an environment where every voice is heard, every idea is valued, and every individual experiences opportunities to grow as our company grows. When you join Asset Living, you become part of a dynamic team that thrives on unity, unique talents, and a universal culture of winning. Recognized as one of the nation's Best and Brightest Places to Work and ranked in the NMHC top 50 professionals, join Asset Living because of its reputation as the most trusted partner in real estate, workplace culture, and growth opportunities. Asset Living is a member of The Institute of Real Estate Management (IREM) and is recognized as an Accredited Management Organization (AMO). Together, we lead the way, and together, we achieve excellence in all that we do. Join a workplace where success is a collective journey and leadership is a shared responsibility. Leasing Manager The Leasing Manager is responsible for overseeing all aspects of leasing and marketing at the property. The Leasing Manager works closely with the Community Manager to set leasing goals and develop a strategic marketing plan for achieving budgeted occupancy. The Leasing Manager is responsible for effectively leading the leasing team and accomplishing effective leasing, marketing, and positive resident relations. Essential Duties & Responsibilities Strategic Leasing Management Regular/daily onsite attendance is required Ensure staff leasing techniques are effective in obtaining closure, follow-up procedures met, signing/documentation of leases, and reporting systems are accurate and up to date. Audit all lease files to ensure adherence to policies and procedures Deal with resident complaints, concerns, and requests to ensure resident satisfaction Develop and implement resident retention programs (i.e., resident functions, special promotions, monthly newsletter, etc.) Effectively show, lease, and move in prospective residents Marketing Management Assist in developing the annual marketing plan and marketing budget Implement all marketing efforts and outreach, developing campaigns and assisting with design to generate traffic Monitor leasing/renewal progress, focusing on areas needing additional support Supervise the planning, preparation, and implementation of all leasing and renewal events as approved by the Community Manager Maintain thorough product knowledge of the property and competition as well as market conditions; complete weekly market survey report Utilize established sales and marketing strategies to increase property traffic, maintain closing ratios, and achieve budgeted occupancy. Personnel Management Assist the Community Manager in the use of consistent techniques & company directives to screen, hire, train, coach, and develop on-site staff. Assist the Community Manager in ensuring the effectiveness of staff through ongoing training, coaching, counseling, and guidance in compliance with Asset training benchmarks. Promote harmony and quality job performance of staff through support and effective leadership Ensure staff compliance and consistency with Company policies and procedures Administrative Management Manage excellent customer service and monitor service request turnaround and responsiveness of maintenance staff Maintain property appearance and ensure repairs are noted and completed on a timely basis (this requires regular property inspections and tours) Assist with supervision of all business functions related to operations Plan for and utilize property resources, equipment, and supplies economically (i.e., obtaining bids/pricing from vendors, suppliers, contractors, dealing with inadequate service, etc.) Education/experience High School Diploma or Equivalent; Bachelor's degree preferred or one year's experience in the housing industry; Ability to understand and perform all on-site software functions; basic computer skills required. Must have basic knowledge of Fair Housing Laws and OSHA requirements. Physical requirements While performing the duties of this job, the employee is regularly required to remain in a stationary position, often standing or sitting for prolonged periods, communicate with others to exchange information and repeat motions that may include wrists, hands, and/or fingers. The employee is frequently required to ascend/descend ladders, stairs, scaffolding, ramps, step stools, and the like, move about to accomplish tasks or move from one worksite to another, operate motor vehicles and/or golf carts, assess the accuracy, neatness, and thoroughness of the work assigned, traverse flat and non-flat terrain. The employee is occasionally required to move self into different positions to accomplish tasks in various environments including tight and confined spaces, work in an overhead position and reach, adjust or move objects of up to 25 lbs. in all directions, lift and place objects up to 25 lbs, operate machinery or power tools, identify and inspect objects, be able to work overtime, weekends, night hours (emergencies), work in extremely low or high temperatures, work in outdoor environments such as precipitation and wind, work in small and/or enclosed spaces, be exposed to hazardous chemicals. At Asset Living, a variety of factors are considered in making compensation decisions, including, but not limited to: skill set, background and training, certifications, etc. When selecting the top candidate to hire for a position, the offer we extend is dependent on the facts associated with each specific individual's relevant experience for the role. Our employment offer is accompanied by additional compensation associated with our comprehensive total rewards package, which includes benefits (medical, dental, vision, life, accidental, and disability insurance), 401K with employer matching, and commission and performance bonuses, when applicable. Full-time employees also receive paid sick days and company holidays. Salary Range : $16 per hour to $19 per hour This job description should not be considered all-inclusive. It is merely a guide of expected duties. The employee understands that the job description is neither complete nor permanent and may be modified at any time. At the request of their supervisor, an employee may be asked to perform additional duties or take on additional responsibilities without notice. This is a safety-sensitive position and may be subject to additional compliance requirements. PandoLogic. Category:Real Estate,
As a member of the C&S Wholesale Grocers family of companies, SpartanNash is a food solutions company that delivers the ingredients for a better life. A distributor, wholesaler and retailer with a global supply chain network, SpartanNash distributes grocery and household goods, including fresh produce and the Our Family portfolio of products, to locations in all 50 states. Our braggingly happy team members - ranging from bakery managers to order selectors; from IT developers to vice presidents of finance; from HR Business Partners to export specialists - create braggingly happy customers spanning national accounts, independent and chain grocers, e-commerce retailers, U.S. military commissaries and exchanges, and the Company's own brick-and-mortar grocery stores, pharmacies and fuel centers. Ready to contribute to the success of our food solutions company? Apply now! Location: 3950 E Galbraith Rd - Cincinnati, Ohio 45326 Position Summary: This role is responsible to lead the day-to-day activities of the department operations in a retail store, ensuring the associates are trained, the department is fully staffed, operating at company standards and meeting all company goals and key performance indicators. Here's what you'll do: Be responsible to order and maintain inventory in your department, while utilizing inventory control procedures to ensure product freshness and quality. Review and validate received orders for amount, quality, count or weight, condition, and ensure all product is stored in appropriate areas . Manage a team that completes all stocking, production, and additional tasks to ensure product quality, production planning, accuracy, and date sensitive rotation, as well as ensure all spoiled/damaged products are handled per established guidelines. Maintain familiarity with all products carried in the department as well as throughout the store. Know the advertised items, special prices, coupon deals or other features, that apply to the store's sales and rewards programs. Assure that the weekly and period Flight Plan are communicated and executed to company expectations and timeline. Follow company policies and timelines using the required tools and software to manage scheduling, according to forecasted guidelines. Implement and maintain work schedules, labor control, overtime control, and payroll expense for the department. Implement Our Winning Recipe and model our core values and competencies. Be responsible for department management including staffing, training, performance management, and career development of associates. Develop and monitor department goals. Develop and monitor department forecasts, as required . Attend and participate in daily huddles , manager meetings, as well as district and company level meetings via phone, online, or in person, as required. Maintain a clean, attractive, and well stocked department, by using structure of the day guidelines, as well as executing "Prime Time" standards. Assure that all food safety guidelines and requirements are always followed and maintained throughout the entire store. Take immediate corrective action if not followed. Assure that all safety guidelines and requirements are always followed and maintained throughout the entire store. Take immediate corrective action if not followed. Develop and implement a plan that results in meeting company goals and key performance indicators. Additional responsibilities may be assigned as needed. Here's what you'll need: High School Graduate (Required) or Equivalent (GED). Two years of retail experience preferred. One-year supervisory experience preferred. Strong written and verbal communication, and bookkeeping skills . Good organization, prioritization, decision-making, problem solving and conflict management skills. Strong leadership abilities with capability to work in a hands-on environment . Good strategic planning and business acumen skills . Good knowledge of retail store operations; knowledge of retail management systems . Proficient in Word, Excel and PowerPoint . Depending on company location, ability to communicate in Spanish is highly desirable. Physical Requirements: The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. May be required to lift and/or move up to 30 pounds frequently, and up to 50 pounds occasionally. The associate is required to stand and walk for extended periods of time and may bend, stoop, twist and turn frequently. While performing the duties of this position, the employee is subject to a typical retail store environment (varied temperatures) and is exposed to outside weather conditions. The noise level in the work environment is usually low to moderate. Travel requirements vary by assignment. As part of our People First culture, SpartanNash is proud to offer a robust and competitive Total Rewards benefits package . SpartanNash is an Equal Opportunity Employer that invests in Associate development, recognizes and celebrates success, fosters two-way communication, and promotes a sense of belonging. We are committed to providing equal employment opportunities to all individuals, including those with disabilities and Veterans. We are not able to sponsor work visas for this position.
06/25/2026
Full time
As a member of the C&S Wholesale Grocers family of companies, SpartanNash is a food solutions company that delivers the ingredients for a better life. A distributor, wholesaler and retailer with a global supply chain network, SpartanNash distributes grocery and household goods, including fresh produce and the Our Family portfolio of products, to locations in all 50 states. Our braggingly happy team members - ranging from bakery managers to order selectors; from IT developers to vice presidents of finance; from HR Business Partners to export specialists - create braggingly happy customers spanning national accounts, independent and chain grocers, e-commerce retailers, U.S. military commissaries and exchanges, and the Company's own brick-and-mortar grocery stores, pharmacies and fuel centers. Ready to contribute to the success of our food solutions company? Apply now! Location: 3950 E Galbraith Rd - Cincinnati, Ohio 45326 Position Summary: This role is responsible to lead the day-to-day activities of the department operations in a retail store, ensuring the associates are trained, the department is fully staffed, operating at company standards and meeting all company goals and key performance indicators. Here's what you'll do: Be responsible to order and maintain inventory in your department, while utilizing inventory control procedures to ensure product freshness and quality. Review and validate received orders for amount, quality, count or weight, condition, and ensure all product is stored in appropriate areas . Manage a team that completes all stocking, production, and additional tasks to ensure product quality, production planning, accuracy, and date sensitive rotation, as well as ensure all spoiled/damaged products are handled per established guidelines. Maintain familiarity with all products carried in the department as well as throughout the store. Know the advertised items, special prices, coupon deals or other features, that apply to the store's sales and rewards programs. Assure that the weekly and period Flight Plan are communicated and executed to company expectations and timeline. Follow company policies and timelines using the required tools and software to manage scheduling, according to forecasted guidelines. Implement and maintain work schedules, labor control, overtime control, and payroll expense for the department. Implement Our Winning Recipe and model our core values and competencies. Be responsible for department management including staffing, training, performance management, and career development of associates. Develop and monitor department goals. Develop and monitor department forecasts, as required . Attend and participate in daily huddles , manager meetings, as well as district and company level meetings via phone, online, or in person, as required. Maintain a clean, attractive, and well stocked department, by using structure of the day guidelines, as well as executing "Prime Time" standards. Assure that all food safety guidelines and requirements are always followed and maintained throughout the entire store. Take immediate corrective action if not followed. Assure that all safety guidelines and requirements are always followed and maintained throughout the entire store. Take immediate corrective action if not followed. Develop and implement a plan that results in meeting company goals and key performance indicators. Additional responsibilities may be assigned as needed. Here's what you'll need: High School Graduate (Required) or Equivalent (GED). Two years of retail experience preferred. One-year supervisory experience preferred. Strong written and verbal communication, and bookkeeping skills . Good organization, prioritization, decision-making, problem solving and conflict management skills. Strong leadership abilities with capability to work in a hands-on environment . Good strategic planning and business acumen skills . Good knowledge of retail store operations; knowledge of retail management systems . Proficient in Word, Excel and PowerPoint . Depending on company location, ability to communicate in Spanish is highly desirable. Physical Requirements: The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. May be required to lift and/or move up to 30 pounds frequently, and up to 50 pounds occasionally. The associate is required to stand and walk for extended periods of time and may bend, stoop, twist and turn frequently. While performing the duties of this position, the employee is subject to a typical retail store environment (varied temperatures) and is exposed to outside weather conditions. The noise level in the work environment is usually low to moderate. Travel requirements vary by assignment. As part of our People First culture, SpartanNash is proud to offer a robust and competitive Total Rewards benefits package . SpartanNash is an Equal Opportunity Employer that invests in Associate development, recognizes and celebrates success, fosters two-way communication, and promotes a sense of belonging. We are committed to providing equal employment opportunities to all individuals, including those with disabilities and Veterans. We are not able to sponsor work visas for this position.
Taco Bell - LEBANON is looking for a full time or part time crew member to join our team in Lebanon, IN. As a Taco Bell - LEBANON crew member, you can be the smiling face that greets and serves our guests or a cook who makes things happen in the kitchen. Working with us will give you the flexibility to be whatever our team and guests needs you to be. You'll learn new things, get recognized for your efforts and learn skills that last a lifetime. What are we looking for? The good news is that your training will teach you everything you need to know to succeed on the job. But there are a few skills you should have from the get-go: You're a fun and friendly person who values customers and takes absolute pride in everything you do. Verbal communication skills are key - you're not going to be able to text message customers back and forth. In other words, you should be comfortable talking to strangers. You've got attitude - the right kind of course - and understand the need to be on time, all the time. With loads of energy, you understand that work is easier - and more fun - with some teamwork. Responsibilities: -Knowledge of proper safe handling techniques for all food or chemicals used -Anticipates kitchen member needs by constantly evaluating environment and responding to cues as necessary -Maintain a high standard of cleanliness and orderliness in all kitchens, loading dock, dumpster and utility work areas -Assists with receiving delivery of product on behalf of our restaurant team -Complete daily and weekly checklists -Maintain a proactive approach to the health, safety and security of all staff at all times -Be vigilant for any hazards, alerting a manager as necessary -Greet guests and provide a memorable experience -When necessary, resolve guest issues -Share your positive high energy and enthusiasm with focus and commitment to exceed customers expectations -Not only will you work with our crew members, you will be part of an overall team helping to support the success of Taco Bell - LEBANON -Bring your outgoing personality and smiles We can't wait to see you for an interview for our full time or part time crew member position at Taco Bell - LEBANON. Apply now!
06/25/2026
Full time
Taco Bell - LEBANON is looking for a full time or part time crew member to join our team in Lebanon, IN. As a Taco Bell - LEBANON crew member, you can be the smiling face that greets and serves our guests or a cook who makes things happen in the kitchen. Working with us will give you the flexibility to be whatever our team and guests needs you to be. You'll learn new things, get recognized for your efforts and learn skills that last a lifetime. What are we looking for? The good news is that your training will teach you everything you need to know to succeed on the job. But there are a few skills you should have from the get-go: You're a fun and friendly person who values customers and takes absolute pride in everything you do. Verbal communication skills are key - you're not going to be able to text message customers back and forth. In other words, you should be comfortable talking to strangers. You've got attitude - the right kind of course - and understand the need to be on time, all the time. With loads of energy, you understand that work is easier - and more fun - with some teamwork. Responsibilities: -Knowledge of proper safe handling techniques for all food or chemicals used -Anticipates kitchen member needs by constantly evaluating environment and responding to cues as necessary -Maintain a high standard of cleanliness and orderliness in all kitchens, loading dock, dumpster and utility work areas -Assists with receiving delivery of product on behalf of our restaurant team -Complete daily and weekly checklists -Maintain a proactive approach to the health, safety and security of all staff at all times -Be vigilant for any hazards, alerting a manager as necessary -Greet guests and provide a memorable experience -When necessary, resolve guest issues -Share your positive high energy and enthusiasm with focus and commitment to exceed customers expectations -Not only will you work with our crew members, you will be part of an overall team helping to support the success of Taco Bell - LEBANON -Bring your outgoing personality and smiles We can't wait to see you for an interview for our full time or part time crew member position at Taco Bell - LEBANON. Apply now!
Senior Lead AI Engineer, AI Foundations Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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. We are committed to continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).
06/25/2026
Full time
Senior Lead AI Engineer, AI Foundations Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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. We are committed to continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).
Applied Researcher II (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable 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. 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. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model 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. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).
06/25/2026
Full time
Applied Researcher II (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable 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. 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. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model 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. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 Description Job Description Position: Channel Sales Executive Open Positions: 1 Work Location - New Jersey About the Company: Sequretek offers end-to-end security in the areas of enterprise threat monitoring, incident response (Percept XDR), device security (Percept EDR), identity & access governance (Percept IGA) through their own AI driven Percept Cloud Security Platform (PCSP). Vision: To simplify security by consolidating the technology landscape Mission: We empower your growth (customer's growth) without fear as your (customer's) trusted partner by simplifying security Sequretek, started in 2013, has its offices across US and India with over 400 cybersecurity professionals. More than 25% of our employees are in R&D. We do business across the world with our partners. Our products are covered by technology influencers like Gartner, ICSA Labs, Avasant, Top MSSPs from Cyber Risk Alliance, and have strategic partnerships with Intel, Ingram Micro, ICBA and FIS. They give us market access in India and US. The company has received recognitions from several government bodies, startup entities as well as media houses over these past several years. Website: / LinkedIn: Reporting to: Chief Growth Officer Sales Manager Roles and Responsibilities To sell Sequretek products & services directly to selected end customer organizations in the BFSI, Healthcare, Pharmaceuticals, Manufacturing, Retail, and Community banks across the identified geographies in the US. To onboard channel partners and work with them to sell products & services to their end customer organizations (through cloud marketplace / direct orders). To qualify leads generated by Inside Sales Representative/Marketing Campaigns/Channel Partner/Demand Generation initiatives (Sales Qualified Leads). To update CRM with activities / account details / lead conversions, and reports for review purposes (Commit/Upside/Leads). Create proposals according to the requirements mentioned by the customer / RFPs / RFQs / EoQs / Quotations, directly or through partners/marketplaces. Co-ordinate with Pre-sales Team for technical discussions / demonstration / Proof of Concept / Pilot / Technical Proposals to end customers. Responsible for achieving monthly, quarterly and yearly sales targets, KPIs and other individual goals. The sales manager will be responsible for Booking, Billing, and Collections. Commissions will be paid after the collections as per the incentive policies of Sequretek. To attend Sequretek's marketing events as a SPOC/presenter/booth representative (whenever organized). While the sales manager is expected to do self-learning, the candidate should also attend training programs organized by Sequretek periodically. Sales manager shall attend and report to the CEOs/CGO, during the weekly/monthly/quarterly/annual sales reviews. To work with marketing/inside sales representative/database companies to create & append database records in the CRM on a periodic basis. Initiating and developing relationships with CXO level across target organizations for business opportunities. All Competition information should be passed on to Sales Head, and Marketing Teams - Product, Promotion, Pricing, and other account/market-based strategies. Sales Manager Requirements and Qualifications Minimum Requirement: graduate Degree Experience: 3 to 5 years of relevant hunting experience in a similar role at B2B enterprise/s (in IT/ Cybersecurity /Cloud SaaS) in US markets (specifically Healthcare, Pharmaceuticals, Manufacturing & Community banks). Preference will be given for hunting experience in product sales for the above markets & sectors The candidate should have achieved met sales targets in the previous roles. Referrals & Verifications as per company procedures will be done Strong channel selling experience with end customer organizations Added advantage to the candidates who have previously worked with onboarding channel partners / worked with channel partners / cloud marketplaces Proficiency in Email, MS Office, and CRM software Strong listening and presentation skills Strong organizational and communication skills Ability to work independently and with teams in a fast-paced cybersecurity environment Excellent customer relationship & retention skills Good Hunting and Cold Calling sales experience
06/25/2026
Full time
Job Description Job Description Position: Channel Sales Executive Open Positions: 1 Work Location - New Jersey About the Company: Sequretek offers end-to-end security in the areas of enterprise threat monitoring, incident response (Percept XDR), device security (Percept EDR), identity & access governance (Percept IGA) through their own AI driven Percept Cloud Security Platform (PCSP). Vision: To simplify security by consolidating the technology landscape Mission: We empower your growth (customer's growth) without fear as your (customer's) trusted partner by simplifying security Sequretek, started in 2013, has its offices across US and India with over 400 cybersecurity professionals. More than 25% of our employees are in R&D. We do business across the world with our partners. Our products are covered by technology influencers like Gartner, ICSA Labs, Avasant, Top MSSPs from Cyber Risk Alliance, and have strategic partnerships with Intel, Ingram Micro, ICBA and FIS. They give us market access in India and US. The company has received recognitions from several government bodies, startup entities as well as media houses over these past several years. Website: / LinkedIn: Reporting to: Chief Growth Officer Sales Manager Roles and Responsibilities To sell Sequretek products & services directly to selected end customer organizations in the BFSI, Healthcare, Pharmaceuticals, Manufacturing, Retail, and Community banks across the identified geographies in the US. To onboard channel partners and work with them to sell products & services to their end customer organizations (through cloud marketplace / direct orders). To qualify leads generated by Inside Sales Representative/Marketing Campaigns/Channel Partner/Demand Generation initiatives (Sales Qualified Leads). To update CRM with activities / account details / lead conversions, and reports for review purposes (Commit/Upside/Leads). Create proposals according to the requirements mentioned by the customer / RFPs / RFQs / EoQs / Quotations, directly or through partners/marketplaces. Co-ordinate with Pre-sales Team for technical discussions / demonstration / Proof of Concept / Pilot / Technical Proposals to end customers. Responsible for achieving monthly, quarterly and yearly sales targets, KPIs and other individual goals. The sales manager will be responsible for Booking, Billing, and Collections. Commissions will be paid after the collections as per the incentive policies of Sequretek. To attend Sequretek's marketing events as a SPOC/presenter/booth representative (whenever organized). While the sales manager is expected to do self-learning, the candidate should also attend training programs organized by Sequretek periodically. Sales manager shall attend and report to the CEOs/CGO, during the weekly/monthly/quarterly/annual sales reviews. To work with marketing/inside sales representative/database companies to create & append database records in the CRM on a periodic basis. Initiating and developing relationships with CXO level across target organizations for business opportunities. All Competition information should be passed on to Sales Head, and Marketing Teams - Product, Promotion, Pricing, and other account/market-based strategies. Sales Manager Requirements and Qualifications Minimum Requirement: graduate Degree Experience: 3 to 5 years of relevant hunting experience in a similar role at B2B enterprise/s (in IT/ Cybersecurity /Cloud SaaS) in US markets (specifically Healthcare, Pharmaceuticals, Manufacturing & Community banks). Preference will be given for hunting experience in product sales for the above markets & sectors The candidate should have achieved met sales targets in the previous roles. Referrals & Verifications as per company procedures will be done Strong channel selling experience with end customer organizations Added advantage to the candidates who have previously worked with onboarding channel partners / worked with channel partners / cloud marketplaces Proficiency in Email, MS Office, and CRM software Strong listening and presentation skills Strong organizational and communication skills Ability to work independently and with teams in a fast-paced cybersecurity environment Excellent customer relationship & retention skills Good Hunting and Cold Calling sales experience
Who We Are At Manchester Mills, a division of Guest Worldwide, we believe in the power of life's little comforts - delivering uniquely exceptional guest experiences through uncompromising quality and a relentless passion for innovation. As one of the world's leading hospitality textile producers, we are committed to meeting the ever-changing needs of our customers, while making responsible choices to shrink our ecological footprint. Learn more by visiting Position Purpose: This position is primarily focused on generating revenue from the acquisition of new accounts within the Independent Channel. Sales targets are determined by a set of criteria established and assigned by sales management. The utilization of strategic and diligent prospecting along with disciplined planning, excellent relationship building and closing skills is essential to consistently developing a successful pipeline of new account revenue. Collaboration with the Corporate Accounts Management Group team and the Guest Supply field sales team in the assigned region will also be key in maximizing results. This position will be located in the sales region supported by the role and will include travel within your assigned territory, to management groups in additional territories (as needed) and to trade shows (as needed). Territory includes prospective accounts in multiple states in a defined geographic region Primary Responsibilities: New business acquisition in Support of Manchester Mills Consistently generate revenue from new accounts within the Independent hotel market to meet or exceed the sales target determined for the territory. Achieve assigned sales goals and metrics. Development of an overall territory plan and strategy that identifies the customers and products needed to deliver sales targets and leverages relationships of Guest Supply TMs in the territory to increase pipeline. Build strong relationships across a variety of customer organizational levels and functions at target properties (GM, Rooms / Operations, Housekeeping, Procurement). Gathers relevant information about prospects to be used in the selling process. Sells leveraging the strength of brands, innovations and product features/benefits, and not solely based on price and service levels. Prepare powerful presentations, negotiate/quote pricing and terms in collaboration with strategic partners within the organization, management of the process of onboarding new customers and transition from lead generation to long term customer with an assigned account manager. With support from sales leadership is beginning to manage more complex selling situations, including determining the relevant stakeholders within a customer and customizing messaging /solutions for successful account acquisition and developing more complex product solutions, including stock, custom, and retail brand partnerships. Support MM manufactured (and strategically sourced) textile products' sales growth for Guest Supply distribution Prepare TMs for textile product presentations via phone consultation and skype meetings. Participate in regional and district meetings as the manufacturer sales rep supporting the territory sales team. Join TMs for customer sales presentations when there is significant volume for new textile business. Participate as needed at Trade Shows as the manufacturer sales rep. Uses a CRM system to promptly and accurately document sales activities, keep track of plans, pipeline development, and progress of prospective opportunities. Participates on project teams, communicates cross-functionally with internal departments, and performs other duties as assigned. Provide industry/regional competitive insights and strategic feedback to ensure MM open line portfolio meets the needs of the competitive market and keeps pace with industry trend. Analyze with strategic internal partners around the regional sales performance as it related to products, portfolio, price, availability, etc. Identify product GAPS and opportunities. Work with relevant team members to provide MM solutions to grow the business. Responsibilities for margin management and category management related to the MM goals. Education: Bachelor's Degree or equivalent experience. Business, Sales, Marketing Experience: Minimum of three to four years of successful sales experience. One to two years of sales experience with a focus on New Business Development/New Account Acquisition including both inside and outside sales. Hospitality Industry and/or Textile Experience a plus Skills: Professional, polished telephone presence and face-to-face demeanor. Exceptional verbal and written communication, negotiation and active listening skills. Ability to ask meaningful questions to help identify and solve customer needs. Professionally persistent with great follow up. Strong organizational skills. Ability to understand and retain information on a large portfolio of products and brands. Strong proficiency with basic computer hardware and software (MicroSoft Office: Word, Excel, PowerPoint and CRM). Strong Analytical skills around multiple data systems Self-motivated and enjoys working independently while ability to collaborate and communicate with cross functional teams in various locations.
06/25/2026
Full time
Who We Are At Manchester Mills, a division of Guest Worldwide, we believe in the power of life's little comforts - delivering uniquely exceptional guest experiences through uncompromising quality and a relentless passion for innovation. As one of the world's leading hospitality textile producers, we are committed to meeting the ever-changing needs of our customers, while making responsible choices to shrink our ecological footprint. Learn more by visiting Position Purpose: This position is primarily focused on generating revenue from the acquisition of new accounts within the Independent Channel. Sales targets are determined by a set of criteria established and assigned by sales management. The utilization of strategic and diligent prospecting along with disciplined planning, excellent relationship building and closing skills is essential to consistently developing a successful pipeline of new account revenue. Collaboration with the Corporate Accounts Management Group team and the Guest Supply field sales team in the assigned region will also be key in maximizing results. This position will be located in the sales region supported by the role and will include travel within your assigned territory, to management groups in additional territories (as needed) and to trade shows (as needed). Territory includes prospective accounts in multiple states in a defined geographic region Primary Responsibilities: New business acquisition in Support of Manchester Mills Consistently generate revenue from new accounts within the Independent hotel market to meet or exceed the sales target determined for the territory. Achieve assigned sales goals and metrics. Development of an overall territory plan and strategy that identifies the customers and products needed to deliver sales targets and leverages relationships of Guest Supply TMs in the territory to increase pipeline. Build strong relationships across a variety of customer organizational levels and functions at target properties (GM, Rooms / Operations, Housekeeping, Procurement). Gathers relevant information about prospects to be used in the selling process. Sells leveraging the strength of brands, innovations and product features/benefits, and not solely based on price and service levels. Prepare powerful presentations, negotiate/quote pricing and terms in collaboration with strategic partners within the organization, management of the process of onboarding new customers and transition from lead generation to long term customer with an assigned account manager. With support from sales leadership is beginning to manage more complex selling situations, including determining the relevant stakeholders within a customer and customizing messaging /solutions for successful account acquisition and developing more complex product solutions, including stock, custom, and retail brand partnerships. Support MM manufactured (and strategically sourced) textile products' sales growth for Guest Supply distribution Prepare TMs for textile product presentations via phone consultation and skype meetings. Participate in regional and district meetings as the manufacturer sales rep supporting the territory sales team. Join TMs for customer sales presentations when there is significant volume for new textile business. Participate as needed at Trade Shows as the manufacturer sales rep. Uses a CRM system to promptly and accurately document sales activities, keep track of plans, pipeline development, and progress of prospective opportunities. Participates on project teams, communicates cross-functionally with internal departments, and performs other duties as assigned. Provide industry/regional competitive insights and strategic feedback to ensure MM open line portfolio meets the needs of the competitive market and keeps pace with industry trend. Analyze with strategic internal partners around the regional sales performance as it related to products, portfolio, price, availability, etc. Identify product GAPS and opportunities. Work with relevant team members to provide MM solutions to grow the business. Responsibilities for margin management and category management related to the MM goals. Education: Bachelor's Degree or equivalent experience. Business, Sales, Marketing Experience: Minimum of three to four years of successful sales experience. One to two years of sales experience with a focus on New Business Development/New Account Acquisition including both inside and outside sales. Hospitality Industry and/or Textile Experience a plus Skills: Professional, polished telephone presence and face-to-face demeanor. Exceptional verbal and written communication, negotiation and active listening skills. Ability to ask meaningful questions to help identify and solve customer needs. Professionally persistent with great follow up. Strong organizational skills. Ability to understand and retain information on a large portfolio of products and brands. Strong proficiency with basic computer hardware and software (MicroSoft Office: Word, Excel, PowerPoint and CRM). Strong Analytical skills around multiple data systems Self-motivated and enjoys working independently while ability to collaborate and communicate with cross functional teams in various locations.
