Staff AI Engineer

Capital One Financial

Confirmed live today Low trust

Remote

Quick summary

Work type: Remote
Location: San Francisco, CACambridge, MARichmond, VAMcLean, VASan Jose, CANew York, NY
Employment: Full-time
Posted: 56 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $215k

$144k $288k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $183,323–$246,000.

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 · Staff AI Engineer

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The Staff AI Engineer joins the Intelligent Foundations and Experiences team to develop responsible and reliable AI systems for banking. 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 technical skills include proficiency in Python, Go, Scala, or Java, along with experience in PyTorch, Huggingface, VectorDBs, and AWS Ultraclusters. The position focuses on solving complex technical problems by building scalable, high-performance AI infrastructure and proprietary solutions that deliver value to millions of customers.

What does a AI Engineer earn in California?

Median $246150 from 100 postings across 17 companies.

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Skills

Python Go Scala Java C++ C# PyTorch Huggingface AWS Google Cloud Azure VectorDBs Nemo Guardrails LLM Inference Similarity Search Machine Learning

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.
Apply novel techniques from scientific publications to production environments to solve complex, undefined problems.
Lead and mentor multiple engineering teams while influencing cross-functional stakeholders up to the VP level.

What we're looking for

Bachelor's degree in Computer Science, Engineering, or AI plus 8 years of experience developing AI and ML algorithms or technologies.
Master's degree plus 6 years of experience developing AI and ML algorithms or technologies.
At least 8 years of experience programming with Python, Go, Scala, or Java.
8 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems (preferred).
Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level (preferred).
Experience developing AI and ML algorithms using Python, C++, C#, Java, or Golang (preferred).
Master's degree in Computer Science, Computer Engineering, or relevant technical field (preferred).

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