Manager, Data Science – AI Foundations

• Partner with data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products
• Build and ship scalable architecture and AI/ML solutions for Capital One’s mobile app
• Develop app features with dynamic and personalized customer experiences
• Enable customers to interact with digital assistant Eno and search useful content
• Leverage PyTorch, AWS Ultraclusters, Hugging Face, Lang Chain, Lightning, VectorDBs, and other technologies to analyze numeric and textual data
• Apply NLP and LLM expertise to adapt and fine-tune models for customer-facing applications
• Build machine learning and NLP models through design, training, evaluation, and validation
• Partner with engineering teams to operationalize models in scalable, resilient production systems serving 80+ million customers
• Translate complex technical work into tangible business goals
• Research and evaluate emerging technologies and apply state-of-the-art methods
• Lead talent development for the team and beyond
• Influence cross-functional stakeholders and communicate findings to non-technical audiences

• Currently has, or is in the process of obtaining, a required degree with expected completion by the scheduled start date
• Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics, OR Master's Degree in a quantitative field or MBA with a quantitative concentration plus 4 years of experience performing data analytics, OR PhD in a quantitative field plus 1 year of experience performing data analytics
• At least 1 year of experience leveraging open-source programming languages for large-scale data analysis
• At least 1 year of experience working with machine learning
• At least 1 year of experience utilizing relational databases
• Experience training language models or large computer vision models
• Expertise in one or more of: training optimization, self-supervised learning, explainability, or RLHF
• Track record of delivering models at scale in training data and inference volumes
• Experience delivering libraries, platforms, or solution-level code to existing products
• Hands-on experience with LLMs and solutions using open-source tools and cloud computing platforms
• Preferred:
  PhD in a STEM field
• Preferred:
  Experience working with AWS
• Preferred:
  At least 4 years of experience in Python, Scala, or R
• Preferred:
  At least 4 years of experience with machine learning
• Preferred:
  At least 4 years of experience with SQL
• Capital One will consider sponsoring a new qualified applicant for employment authorization

Demonstrates expertise in building and operationalizing AI and machine learning solutions, with a strong focus on natural language processing and large language models. Proven ability to translate complex technical concepts into actionable business strategies while collaborating with cross-functional teams.

• Machine Learning Expertise
• Natural Language Processing (NLP)
• Experience with Py Torch
• Proficiency in Python
• Experience with AWS

• Data Analytics
• Model Training and Evaluation
• Relational Databases
• Large-Scale Data Analysis
• Training Optimization
• Self-Supervised Learning
• Explainability
• Reinforcement Learning from Human Feedback (RLHF)
• SQL
• Cloud Computing

• Cross-Functional Collaboration
• Influencing Stakeholders
• Communication Skills
• Talent Development

• Bachelor's Degree in Quantitative Field
• Master's Degree in Quantitative Field or MBA
• PhD in Quantitative Field

• AI-Powered Products
• Customer Experience
• Digital Assistant
• Emerging Technologies
• Scalable Architecture

• AWS Ultraclusters
• Hugging Face
• Lang Chain
• Lightning
• VectorDBs