Senior Distinguished AI Engineer

Capital One Financial

Confirmed live today Low trust
Remote

Quick summary

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

Market check

Salary context

How this pay compares to similar roles

Similar $218k
$155k $293k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $175,000–$261,950.

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 Distinguished AI Engineer

The Sr. Distinguished AI Engineer joins the Intelligent Foundations and Experiences team to advance the state of the art in science and AI engineering. This role involves partnering with cross-functional teams to design, develop, test, deploy, and support AI software components. Key responsibilities include foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The engineer will invent state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput for large scale production systems. Required technologies and skills include Python, Go, Scala, Java, C++, C#, PyTorch, Huggingface, VectorDBs, and Nemo Guardrails. The work focuses on building proprietary, responsible, and scalable AI models and platforms to enhance products and deliver high-leverage impact for banking customers.

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 a broad stack of open-source and SaaS technologies including AWS Ultraclusters, Huggingface, and VectorDBs.
  • 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.
  • Apply novel techniques from scientific publications to production environments to solve complex, undefined problems.

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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