Capital One
Sr Distinguished Applied Researcher (World Models)
Capital One, San Francisco, California, United States, 94199
Overview
At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has led 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 AI & ML applications bring 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. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well‑respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community.
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 S3, Hugging Face, 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.
Translate the complexity of your work into tangible business goals with strong interpersonal skills.
The Ideal Candidate
You love the process of analyzing and creating, and you share our passion to do the right thing, ensuring the best decisions for our customers.
Innovative—you continually research and evaluate emerging technologies, staying current on state‑of‑the‑art methods and applications and seeking opportunities to apply them.
Creative—you thrive on bringing definition to big, undefined problems and love asking questions to push for answers. You’re not afraid to share new ideas.
A leader—you challenge conventional thinking, work with stakeholders to identify and improve the status quo, and are passionate about talent development for your team and beyond.
Technical—you’re comfortable with open‑source languages and passionate about developing further. You have hands‑on experience developing AI foundation models and solutions using open‑source tools and cloud computing platforms.
Deep understanding of the foundations of AI methodologies.
Experience building large deep learning models, whether in language, images, events or graphs, and expertise in one or more of the following: training optimization, self‑supervised learning, robustness, explainability, RLHF.
Engineering mindset with a track record of delivering models at scale, both in terms of training data and inference volumes.
Experience delivering libraries, platform‑level code or solution‑level code to existing products.
A professional with a track record of generating new ideas or improving existing ideas in machine learning, demonstrated by accomplishments such as first‑author publications or projects.
Ability to own and pursue a research agenda, choosing impactful research problems and autonomously carrying out long‑running projects.
Key Responsibilities
Partner with a cross‑functional team of scientists, machine learning engineers, software engineers and product managers to deliver AI‑powered platforms and solutions that change how customers interact with their money.
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.
Leverage a broad stack of technologies—PyTorch, AWS S3, Hugging Face, Lightning, VectorDBs, and more—to reveal the insights hidden within huge volumes of numeric and textual data.
Translate your work into tangible business goals with strong interpersonal skills.
Basic Qualifications
PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in applied research, OR M.S. in the same fields plus 8 years of experience in applied research.
Preferred Qualifications
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields.
Experience in behavioral models, graph neural networks, sequential models, and multivariate time series.
Member of technical leadership for model deployment for a very large user‑behavior model.
Multiple papers on relevant topics at KDD, ICML, NeurIPS, ICLR.
Experience scaling graph models to >50m nodes and producing real‑time streaming environments.
Contributions to open‑source frameworks such as PyTorch‑Geometric or DGL.
Proposed new methods for inference or representation learning on graphs or sequences.
Worked with datasets containing >100m users.
Equity & Contact 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. Salaries are provided solely for candidates hired to perform work within one of these locations and represent the amount Capital One is willing to pay at the time of this posting. Salaries for part‑time roles will be prorated based on the agreed number of hours to be regularly worked.
Sales Territory: $311,900 – $356,000
Cambridge, MA: $343,100 – $391,600
McLean, VA: $343,100 – $391,600
New York, NY: $374,300 – $427,200
Richmond, VA: $311,900 – $356,000
San Francisco, CA: $374,300 – $427,200
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 nondiscretionary 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.
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 1‑800‑304‑9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com.
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).
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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. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well‑respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community.
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 S3, Hugging Face, 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.
Translate the complexity of your work into tangible business goals with strong interpersonal skills.
The Ideal Candidate
You love the process of analyzing and creating, and you share our passion to do the right thing, ensuring the best decisions for our customers.
Innovative—you continually research and evaluate emerging technologies, staying current on state‑of‑the‑art methods and applications and seeking opportunities to apply them.
Creative—you thrive on bringing definition to big, undefined problems and love asking questions to push for answers. You’re not afraid to share new ideas.
A leader—you challenge conventional thinking, work with stakeholders to identify and improve the status quo, and are passionate about talent development for your team and beyond.
Technical—you’re comfortable with open‑source languages and passionate about developing further. You have hands‑on experience developing AI foundation models and solutions using open‑source tools and cloud computing platforms.
Deep understanding of the foundations of AI methodologies.
Experience building large deep learning models, whether in language, images, events or graphs, and expertise in one or more of the following: training optimization, self‑supervised learning, robustness, explainability, RLHF.
Engineering mindset with a track record of delivering models at scale, both in terms of training data and inference volumes.
Experience delivering libraries, platform‑level code or solution‑level code to existing products.
A professional with a track record of generating new ideas or improving existing ideas in machine learning, demonstrated by accomplishments such as first‑author publications or projects.
Ability to own and pursue a research agenda, choosing impactful research problems and autonomously carrying out long‑running projects.
Key Responsibilities
Partner with a cross‑functional team of scientists, machine learning engineers, software engineers and product managers to deliver AI‑powered platforms and solutions that change how customers interact with their money.
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.
Leverage a broad stack of technologies—PyTorch, AWS S3, Hugging Face, Lightning, VectorDBs, and more—to reveal the insights hidden within huge volumes of numeric and textual data.
Translate your work into tangible business goals with strong interpersonal skills.
Basic Qualifications
PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in applied research, OR M.S. in the same fields plus 8 years of experience in applied research.
Preferred Qualifications
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields.
Experience in behavioral models, graph neural networks, sequential models, and multivariate time series.
Member of technical leadership for model deployment for a very large user‑behavior model.
Multiple papers on relevant topics at KDD, ICML, NeurIPS, ICLR.
Experience scaling graph models to >50m nodes and producing real‑time streaming environments.
Contributions to open‑source frameworks such as PyTorch‑Geometric or DGL.
Proposed new methods for inference or representation learning on graphs or sequences.
Worked with datasets containing >100m users.
Equity & Contact 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. Salaries are provided solely for candidates hired to perform work within one of these locations and represent the amount Capital One is willing to pay at the time of this posting. Salaries for part‑time roles will be prorated based on the agreed number of hours to be regularly worked.
Sales Territory: $311,900 – $356,000
Cambridge, MA: $343,100 – $391,600
McLean, VA: $343,100 – $391,600
New York, NY: $374,300 – $427,200
Richmond, VA: $311,900 – $356,000
San Francisco, CA: $374,300 – $427,200
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 nondiscretionary 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.
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 1‑800‑304‑9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com.
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).
#J-18808-Ljbffr