Applied AI Foundations Researcher II

Capital One

San Francisco (CA)

On-site

USD 286,000 - 327,000

Full time

14 days+
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Job summary

Capital One is seeking an Applied Researcher II for the AI Foundations team in San Francisco. You will partner with data scientists, software engineers, ML engineers and product managers to build AI-powered products and production-ready models using PyTorch, HuggingFace, and cloud platforms.

The role emphasizes translating research into actionable business outcomes. You will contribute to training, evaluation, and deployment of large DL models with focus on reliability, scalability, and

Qualifications

  • PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with the exception that degree will be obtained on or before start date plus 2 years of experience in Applied Research
  • MS in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research

Responsibilities

  • Partner with cross-functional team of data scientists, software engineers, ML engineers and product managers to deliver AI-powered products.
  • Leverage PyTorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs to analyze large data sets.
  • Build AI foundation models from design through training, evaluation, validation and implementation.
  • Engage in high impact applied research to translate latest AI developments into customer experiences.
  • Translate complex work into tangible business goals.

Job description

Capital One is seeking an Applied Researcher II for the AI Foundations team in San Francisco. You will partner with data scientists, software engineers, ML engineers and product managers to build AI-powered products and production-ready models using PyTorch, HuggingFace, and cloud platforms.

The role emphasizes translating research into actionable business outcomes. You will contribute to training, evaluation, and deployment of large DL models with focus on reliability, scalability, and

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