Applied Researcher I
Not Disclosed•Full-TimeOn-site
location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
About the Mission
At Capital One, we are creating trustworthy and reliable AI systems to change banking for good. For years, we have 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 instantly, our applications of AI & ML bring humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams to reimagine how we serve our customers and businesses.
About the Team
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 collaborate with product, technology, and business leaders to apply state-of-the-art AI to our business, ensuring that the transformative power of emerging capabilities reaches the products and services our customers love.
The Role
As an Applied Researcher I, you will partner with a cross-functional team of data scientists, software engineers, and product managers to deliver AI-powered products that change how customers interact with their money. You will leverage a broad stack of technologies to reveal insights hidden within huge volumes of numeric and textual data. Your work will involve building AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. You will engage in high-impact applied research to push the latest AI developments into the next generation of customer experiences, flexing your interpersonal skills to translate complex technical work into tangible business goals.
Our Culture
We are looking for individuals who love the process of analyzing and creating, while sharing a passion for doing the right thing. We value innovation, encouraging you to continually research and evaluate emerging technologies. We thrive on creativity, seeking those who bring definition to big, undefined problems and are not afraid to share new ideas. As leaders, we challenge conventional thinking and work with stakeholders to improve the status quo, while remaining passionate about talent development.
Hiring Process
This role is expected to accept applications for a minimum of 5 business days. No agencies, please. If you require an accommodation to apply or interview, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.
Equal Opportunity
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. We promote a drug-free workplace and will consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws. 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.
Work location
Work model: On-site
NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
New York, New York
Key Responsibilities
- check_circlePartner with cross-functional teams to deliver AI-powered products
- check_circleBuild AI foundation models through design, training, evaluation, and implementation
- check_circleTranslate complex technical work into tangible business goals
- check_circleDeliver libraries and platform-level code to existing products at scale
- check_circleLeverage technologies like PyTorch and AWS to extract insights from large data volumes
- check_circleOwn and pursue a research agenda including problem selection and project execution
- check_circleConduct high-impact applied research to advance customer experiences
Requirements
- verifiedPhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields
- verifiedM.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research
- verifiedExperience building large deep learning models
- verifiedExperience with Pytorch, AWS, Huggingface, Lightning, VectorDBs
- verifiedFirst author publications or high-quality ML projects
- verifiedLLM focus: PhD in NLP or Masters with 5 years industrial NLP research experience
- verifiedLLM focus: Publications on pre-training large language models
- verifiedLLM focus: Member of team that trained a large language model from scratch (10B+ parameters)
- verifiedLLM focus: Publications in deep learning theory
Nice to Have
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, or Electrical Engineering. LLM 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 a team that has trained a large language model from scratch (10B+ parameters, 500B+ tokens). Publications in deep learning theory. Publications at ACL, NAACL, EMNLP, Neurips, ICML, or ICLR. PhD focused on topics related to optimizing training of very large deep learning models. Multiple years of experience and/or publications on Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, or Model Compression. Experience optimizing training for a 10B+ model. Deep knowledge of deep learning algorithmic and/or optimizer design. Experience with compiler design. 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.
Benefits & Perks
check_circleEligible for performance-based incentive compensation including cash bonuses and/or long-term incentivescheck_circleComprehensive, competitive, and inclusive set of health, financial, and other benefits
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Skills, education and keywords
Skills: Machine Learning, Ai, Pytorch, Aws, Huggingface, Lightning, Vectordbs, Deep Learning, NLP, LLM.
Education: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields required; Master's in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields with 2 years of experience.
Frequently asked questions about Applied Researcher I at Capital One
What does a Applied Researcher I at Capital One do?expand_more
In this Applied Researcher I at Capital One role, you will partner with cross-functional teams to deliver ai-powered products; build ai foundation models through design, training, evaluation, and implementation; translate complex technical work into tangible business goals; and deliver libraries and platform-level code to existing products at scale.
What are the requirements for this Applied Researcher I role?expand_more
To qualify for the Applied Researcher I at Capital One position, applicants should have: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields; M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research; Experience building large deep learning models; Experience with Pytorch, AWS, Huggingface, Lightning, VectorDBs; First author publications or high-quality ML projects; and LLM focus: PhD in NLP or Masters with 5 years industrial NLP research experience.
Where is the Applied Researcher I role at Capital One located?expand_more
Applied Researcher I at Capital One is based in NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States. This is a on-site role.
Is this Applied Researcher I job remote, hybrid, or on-site?expand_more
Capital One has listed this Applied Researcher I role as on-site.
How much experience is required for this Applied Researcher I role?expand_more
Applied Researcher I at Capital One typically requires 2+ years of relevant experience at the mid level level.
What skills do you need for the Applied Researcher I role at Capital One?expand_more
Key skills for Applied Researcher I at Capital One include Machine Learning; Ai; Pytorch; Aws; Huggingface; Lightning; Vectordbs; and Deep Learning.
What education is required for Applied Researcher I at Capital One?expand_more
Educational requirements for this role: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields required; and Master's in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields with 2 years of experience.
What category does the Applied Researcher I role belong to?expand_more
Applied Researcher I at Capital One is part of the it job category on Recrutus.