Applied Researcher I (AI Foundations)
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, 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.
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.
About the Role
In this role, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses. 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.
You will leverage a broad stack of technologies to reveal insights hidden within huge volumes of numeric and textual data. Your work involves 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 take the latest AI developments and push them into the next generation of customer experiences.
Beyond technical execution, you will flex your interpersonal skills to translate the complexity of your work into tangible business goals. The ideal candidate loves the process of analyzing and creating, shares a passion for doing the right thing, and understands that it is ultimately about making the right decision for our customers. You will be innovative, continually researching and evaluating emerging technologies, and creative, thriving on bringing definition to big, undefined problems.
Hiring Process
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 expected to accept applications for a minimum of 5 business days. No agencies please.
If you require an accommodation to apply for a position, 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.
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. Capital One promotes a drug-free workplace and will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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 research concepts into tangible business goals
- check_circleOwn and pursue a research agenda to solve undefined problems
- check_circleAnalyze numeric and textual data using PyTorch, AWS, and Huggingface
- 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
- verifiedExperience delivering libraries, platform level code or solution level code
- verifiedFirst author publications or projects in machine learning
- verifiedLLM focus on NLP or Masters with 5 years of industrial NLP research experience
- verifiedMultiple publications on pre-training of large language models
- verifiedExperience training a large language model from scratch (10B+ parameters)
Nice to Have
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, or Electrical Engineering. LLM focus on NLP (PhD) or Masters with 5 years of industrial NLP research experience. Multiple publications on pre-training of large language models (e.g., technical reports, SSL techniques, optimization). Membership in a team that 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 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 guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning). Demonstrated knowledge 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, LLM, NLP.
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; PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields preferred.
Frequently asked questions about Applied Researcher I (AI Foundations) at Capital One
What does a Applied Researcher I (AI Foundations) at Capital One do?expand_more
Day-to-day, the Applied Researcher I (AI Foundations) at Capital One will partner with cross-functional teams to deliver ai-powered products; build ai foundation models through design, training, evaluation, and implementation; translate complex research concepts into tangible business goals; and own and pursue a research agenda to solve undefined problems.
What are the requirements for this Applied Researcher I (AI Foundations) role?expand_more
To qualify for the Applied Researcher I (AI Foundations) 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; Experience delivering libraries, platform level code or solution level code; and First author publications or projects in machine learning.
Where is the Applied Researcher I (AI Foundations) role at Capital One located?expand_more
Applied Researcher I (AI Foundations) 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 (AI Foundations) job remote, hybrid, or on-site?expand_more
Capital One has listed this Applied Researcher I (AI Foundations) role as on-site.
How much experience is required for this Applied Researcher I (AI Foundations) role?expand_more
Applied Researcher I (AI Foundations) 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 (AI Foundations) role at Capital One?expand_more
Key skills for Applied Researcher I (AI Foundations) at Capital One include Machine Learning; Ai; Pytorch; Aws; Huggingface; Lightning; Vectordbs; and Deep Learning.
What education is required for Applied Researcher I (AI Foundations) at Capital One?expand_more
Educational requirements for this role: 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; and PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields preferred.
What category does the Applied Researcher I (AI Foundations) role belong to?expand_more
Applied Researcher I (AI Foundations) at Capital One is part of the it job category on Recrutus.