Senior Manager, Data Science - GenAI Digital As... @ Capital One
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Job Details
Overview
Data is at the center of everything we do at Capital One. This role offers an opportunity to lead research and innovation in Generative AI within a Fortune 200 company known for data-driven decision-making.
Team Description
The GenAI Powered Digital Assistant Team in AI Foundations is dedicated to building futuristic, scalable conversational AI solutions. They emphasize advanced LLM powered digital assistant applications, multi-agentic workflows, and domain-specific model tuning.
Responsibilities
- Collaborate with data scientists, software engineers, ML engineers, and product managers.
- Lead research and development in Generative AI and conversational capabilities.
- Fine-tune advanced Large Language Models for domain-specific applications.
- Leverage technologies including Python, AWS, Pyspark, LangChain, LangGraph, HuggingFace Transformers, vLLM, and VectorDBs.
- Translate AI/ML research into tangible business outcomes.
Ideal Candidate
The ideal candidate is innovative, creative, a leader, technically proficient, and influential in driving AI adoption. They should be experienced in AI/ML development, NLP, and LLM tuning.
Basic Qualifications
- Advanced degree or equivalent in a quantitative field with relevant analytics experience.
- Experience with open source programming for large scale data analysis.
- Proven track record in machine learning and data analytics using relational databases.
Preferred Qualifications
- PhD preferred with publication/research experience.
- Specialized experience in GenAI and LLM training, evaluation, and optimization.
- Experience with AWS GPU clusters and deep learning frameworks like PyTorch/TensorFlow.
Compensation & Benefits
Salary is location-based: For example, in McLean, VA, the salary range is $225,400 to $257,200. Additional performance-based incentives apply. Capital One offers a competitive benefits package.
Additional Information
Capital One is an equal opportunity employer committed to diversity and inclusiveness. Agents are not considered. For technical support or recruitment queries, please contact the provided emails.
Key skills/competency
- Data Science
- GenAI
- Digital Assistant
- AI/ML Research
- NLP
- LLM Tuning
- Python
- AWS
- Research
- Innovation
How to Get Hired at Capital One
🎯 Tips for Getting Hired
- Customize your resume: Highlight GenAI and leadership skills.
- Showcase technical expertise: Emphasize AI/ML project experience.
- Research Capital One: Understand their data-driven culture.
- Prepare for interviews: Discuss innovative AI solutions and teamwork.