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Data Science Innovator
1 month ago
At Capital One, we're pushing the boundaries of innovation in AI systems, transforming banking for good. Our commitment to leading-edge research and engineering drives breakthrough product experiences and scalable, high-performance AI infrastructure.
Job DescriptionWe're seeking a skilled Data Science Innovator to help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses.
Key Responsibilities:- Partner with cross-functional teams to deliver AI-powered products that revolutionize customer interactions.
- Leverage cutting-edge technologies like PyTorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs to uncover insights hidden within massive datasets.
- Design, train, evaluate, validate, and implement AI foundation models through all phases of development.
- Engage in high-impact applied research to integrate the latest AI developments into next-generation customer experiences.
To be successful in this role, you'll need:
- A PhD or M.S. with at least 2 years of experience in Applied Research.
- Expertise in machine learning, deep learning, and AI methodologies.
- Experience building large deep learning models and delivering models at scale.
- Strong understanding of training optimization, self-supervised learning, robustness, explainability, and RLHF.
- Excellent communication and interpersonal skills to translate technical concepts into business goals.
As a Data Science Innovator at Capital One, you'll enjoy:
- A competitive salary range: $230,000 - $262,500 (New York City) or $243,700 - $278,100 (San Francisco and San Jose).
- Ongoing education and training opportunities to stay ahead of the curve in AI and machine learning.
- A collaborative work environment with talented professionals who share your passion for innovation.
- A comprehensive benefits package, including health, financial, and other perks to support your well-being.