Senior Staff AI Engineer

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
San Francisco, CAMcLean, VACambridge, MASan Jose, CANew York, NY
Employment
Full-time
Posted
56 days ago
Freshness
Confirmed live today

Market check

Salary context

How this pay compares to similar roles

Similar $211k
$153k $272k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $167,287–$254,750.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Senior Staff AI Engineer

JOB TITLE: Senior Staff AI Engineer The Senior Staff AI Engineer joins the Intelligent Foundations and Experiences team to develop proprietary, scalable AI solutions central to banking operations. You will partner with cross-functional teams to design, develop, test, and support AI software components, including foundation model training, large language model inference, similarity search, guardrails, and observability. The role involves inventing state-of-the-art LLM optimization techniques to improve performance, cost, and latency for production systems. You will utilize a technical stack featuring AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch, while programming in Python, Go, Scala, or Java. This position addresses the technical challenge of building responsible, high-performance AI infrastructure to provide real-time, personalized customer experiences and automated internal tools within a complex financial services environment.

What does a AI Engineer earn in California?

Median $246150 from 100 postings across 17 companies.

See salary data

What you'll do

  • Design, develop, test, deploy, and support AI software components including foundation model training and LLM inference.
  • Implement similarity search, guardrails, model evaluation, experimentation, governance, and observability systems.
  • Utilize open-source and SaaS technologies such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.
  • Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput.
  • Contribute to the technical vision and long-term roadmap of foundational AI systems.
  • Translate scientific research and publications into production-ready AI techniques.
  • Lead and mentor an engineering organization while influencing cross-functional stakeholders.

What we're looking for

  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 10 years of experience developing AI and ML algorithms.
  • Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 8 years of experience developing AI and ML algorithms.
  • At least 10 years of experience programming with Python, Go, Scala, or Java.
  • 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
  • Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems (preferred).
  • Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level (preferred).
  • Experience developing AI and ML algorithms using Python, C++, C#, Java, or Golang (preferred).
  • Experience developing and applying state-of-the-art techniques for optimizing training and inference software (preferred).

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