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Capital One Senior Manager Data Science - GenAI Powered Developer Experience Team United States, Virginia, Arlington 141979889
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Team Description
The GenAI Powered Developer Experience Team in AI Foundations builds scalable solutions based on generative AI to help 20k + developers flow through the Capital One Software Development Lifecycle, whether it is to help developers setup, design, develop, test, deploy or maintain and monitor their applications. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging AI/ML technologies. Our areas of research include advanced RAG systems, AI agents and tooling, LLM for coding tasks, guardrails and many more.
In this role, 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 developers write software.
Leverage a broad stack of technologies — Python, AWS, Pyspark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features.
Build NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems.
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
Technical. You’re comfortable with open-source languages and are passionate about developing further with new GenAI technologies. You are a developer yourself and are hands-on with DevOp tools and have experience developing solutions using open-source tools, libraries and cloud computing platforms.
Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences.
Basic Qualifications
Currently has, or is in the process of obtaining a Bachelor’s Degree plus 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 2 years of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date
At least 3 years of experience in open source programming languages for large scale data analysis
At least 3 years of experience with machine learning
At least 3 years of experience with relational databases
Preferred Qualifications
PhD in Computer Engineering plus 4 years of relevant experience, prior publication/research experience referred
At least 1 year of specialized experience in GenAI application development.
At least 3 years of experience managing people
At least 3 years of experience in DevOps such as Docker, Kubernetes, software testing, automation, defect/bug tracking etc
At least 3 years of experience working with AWS
At least 5 years of experience in PyTorch/Tensorflow
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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