Distinguished Applied Researcher
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 Team
At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, we have 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.
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, committed to building world-class applied science and engineering teams with breakthrough product experiences and scalable, high-performance AI infrastructure.
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 platforms and solutions
- check_circleTranslate complex technical work into tangible business goals
- check_circleGuide and mentor applied scientists without direct people management
- check_circleRepresent Capital One as an external leader in the AI research community
- check_circleBuild AI foundation models through design, training, evaluation, and implementation
- check_circleLeverage technologies like PyTorch and AWS to extract insights from large data volumes
- check_circleConduct high-impact applied research to advance customer experiences
Requirements
- verifiedPhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research
- verifiedM.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research
- verifiedPhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
- verifiedLLM
- verifiedPhD focus on NLP or Masters with 10 years of industrial NLP research experience
- verifiedExperience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)
- verifiedNumerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR
- verifiedExperience with common training optimization frameworks (deep speed, nemo)
- verifiedWork authorization sponsorship available
Nice to Have
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, or Electrical Engineering. LLM experience. PhD focus on NLP or Masters with 10 years of industrial NLP research experience. Core contributor to a team that has trained a large language model from scratch (10B+ parameters, 500B+ tokens) or through continued pre-training, post-training pipeline for alignment and reasoning, LLM optimizations, or complex reasoning with multi-agentic LLMs. Numerous publications at ACL, NAACL, EMNLP, Neurips, ICML, or ICLR on topics related to the pre-training of large language models. Experience working on an LLM (open source or commercial) that is currently available for use. Demonstrated ability to guide the technical direction of a large-scale model training team. Experience with common training optimization frameworks (DeepSpeed, NeMo).
Benefits & Perks
check_circlePerformance-based incentive compensation including cash bonuses and/or long term incentives
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Skills, education and keywords
Skills: Machine Learning, Ai, Pytorch, Aws, Huggingface, Lightning, Vectordbs, Deep Learning, Training Optimization, Self-Supervised Learning.
Education: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics or related fields; Master's in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics or related fields; PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields.
Frequently asked questions about Distinguished Applied Researcher at Capital One
What does a Distinguished Applied Researcher at Capital One do?expand_more
Day-to-day, the Distinguished Applied Researcher at Capital One will partner with cross-functional teams to deliver ai-powered platforms and solutions; translate complex technical work into tangible business goals; guide and mentor applied scientists without direct people management; and represent capital one as an external leader in the ai research community.
What are the requirements for this Distinguished Applied Researcher role?expand_more
Capital One is looking for candidates who meet the following requirements: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research; M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research; PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields; LLM; PhD focus on NLP or Masters with 10 years of industrial NLP research experience; and Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens).
Where is the Distinguished Applied Researcher role at Capital One located?expand_more
Distinguished Applied Researcher 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 Distinguished Applied Researcher job remote, hybrid, or on-site?expand_more
Capital One has listed this Distinguished Applied Researcher role as on-site.
How much experience is required for this Distinguished Applied Researcher role?expand_more
Distinguished Applied Researcher at Capital One typically requires 4–6 years of relevant experience at the lead level.
What skills do you need for the Distinguished Applied Researcher role at Capital One?expand_more
Key skills for Distinguished Applied Researcher at Capital One include Machine Learning; Ai; Pytorch; Aws; Huggingface; Lightning; Vectordbs; and Deep Learning.
What education is required for Distinguished Applied Researcher at Capital One?expand_more
Educational requirements for this role: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics or related fields; Master's in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics or related fields; and PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields.
What category does the Distinguished Applied Researcher role belong to?expand_more
Distinguished Applied Researcher at Capital One is part of the it job category on Recrutus.