Senior Associate, Data Scientist - LLM Customization Team

About the role

The AI Foundations LLM Customization team at Capital One is dedicated to bringing our vision for Large Language Models (LLMs) and Generative AI to life. Our work spans the entire research lifecycle, from initial research to deploying production systems. We collaborate with product, technology, and business leaders to apply the latest advancements in AI to our business needs.

Responsibilities

• Partner with a cross-functional team to develop AI-powered products that enhance customer interactions with financial services.
• Leverage a diverse set of technologies including PyTorch, Hugging Face, AWS Ultraclusters, LangChain, and Vector Databases to analyze vast amounts of data.
• Expertise in Natural Language Processing (NLP) to fine-tune and adapt LLMs for specific business applications.
• Build and optimize NLP models throughout the development lifecycle, ensuring they are scalable and resilient in production environments.
• Communicate complex technical concepts to non-technical stakeholders to align on business goals.

Requirements

• Currently holds or is close to obtaining a Bachelor's or Master's degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related).
• Experience with AWS, Python, Scala, or R.
• At least 2 years of experience in machine learning and SQL.

Preferred Qualifications

• A Master's or PhD in STEM fields (Science, Technology, Engineering, or Mathematics).
• Experience with training optimization, self-supervised learning, explainability, and RLHF.
• Track record of delivering models at scale in terms of training data and inference volumes.
• Experience in delivering libraries, platforms, or solution-level code to existing products.

Benefits

Capital One offers a comprehensive benefits package including health, financial, and other support programs designed to promote overall well-being. Details on eligibility and benefits vary based on full or part-time status, exempt or non-exempt status, and management level.

Pay

Salaries for this role range from $135,600 to $168,900 annually, depending on location and experience. Performance-based incentives may also be offered.

Schedule

This role is full-time and requires regular attendance and availability to meet job responsibilities.

Skills

Knowledge of large language models, natural language processing, and relevant technologies like PyTorch, Hugging Face, and AWS is essential. Experience with AWS, Python, Scala, or R, and proficiency in SQL are preferred.

Benefits

Capital One provides a range of benefits including health insurance, retirement plans, and financial wellness programs. Details on eligibility and benefits vary based on full or part-time status, exempt or non-exempt status, and management level.