Applied Researcher II (AI Foundations, LLM Core and Agentic AI)
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 sits at the center of bringing this vision 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 the state of the art in AI to our business, helping to reimagine how we serve the customers and businesses who have come to love our products.
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 PyTorch, AWS, and Huggingface 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 plus 2 years of experience in Applied Research
- verifiedM.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research
- verifiedPhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
- verified5 years of industrial NLP research experience
- verifiedExperience building large deep learning models
- verifiedExperience optimizing training for a 10B+ model
- verifiedExperience deploying a fine-tuned large language model
- verifiedPublications in deep learning theory
- verifiedPublications at ACL, NAACL, EMNLP, Neurips, ICML, or ICLR
Nice to Have
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, or Electrical Engineering. 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 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_circlePerformance-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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Applied Researcher II (AI Foundations, LLM Core and Agentic AI)
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Applied Researcher II (AI Foundations, LLM Core and Agentic AI)
Capital One • New York, New York
$263k-327karrow_forward
Applied Researcher II (AI Foundations, LLM Core and Agentic AI)
Capital One • New York, New York
$263k-327karrow_forward
Skills, education and keywords
Skills: Machine Learning, Ai, Pytorch, Aws, Huggingface, Lightning, Vectordbs, LLM, NLP, Deep Learning.
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 4 years experience.
Frequently asked questions about Applied Researcher II (AI Foundations, LLM Core and Agentic AI) at Capital One
What does a Applied Researcher II (AI Foundations, LLM Core and Agentic AI) at Capital One do?expand_more
A Applied Researcher II (AI Foundations, LLM Core and Agentic AI) at Capital One is responsible for the following: 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 II (AI Foundations, LLM Core and Agentic AI) role?expand_more
To qualify for the Applied Researcher II (AI Foundations, LLM Core and Agentic AI) at Capital One position, applicants should have: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research; M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research; PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields; 5 years of industrial NLP research experience; Experience building large deep learning models; and Experience optimizing training for a 10B+ model.
Where is the Applied Researcher II (AI Foundations, LLM Core and Agentic AI) role at Capital One located?expand_more
Applied Researcher II (AI Foundations, LLM Core and Agentic AI) 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 II (AI Foundations, LLM Core and Agentic AI) job remote, hybrid, or on-site?expand_more
Capital One has listed this Applied Researcher II (AI Foundations, LLM Core and Agentic AI) role as on-site.
How much experience is required for this Applied Researcher II (AI Foundations, LLM Core and Agentic AI) role?expand_more
Applied Researcher II (AI Foundations, LLM Core and Agentic AI) at Capital One typically requires 2–4 years of relevant experience at the mid level level.
What skills do you need for the Applied Researcher II (AI Foundations, LLM Core and Agentic AI) role at Capital One?expand_more
Key skills for Applied Researcher II (AI Foundations, LLM Core and Agentic AI) at Capital One include Machine Learning; Ai; Pytorch; Aws; Huggingface; Lightning; Vectordbs; and LLM.
What education is required for Applied Researcher II (AI Foundations, LLM Core and Agentic AI) 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 4 years experience.
What category does the Applied Researcher II (AI Foundations, LLM Core and Agentic AI) role belong to?expand_more
Applied Researcher II (AI Foundations, LLM Core and Agentic AI) at Capital One is part of the it job category on Recrutus.