Staff AI Engineer

Capital One Financial

Confirmed live yesterday Trusted
Remote

Quick summary

Work type
Remote
Location
San Francisco, CAMcLean, VACambridge, MASan Jose, CARichmond, VA
Salary
$269,100–$307,200 / yr
Posted
14 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k
This role $288k
$142k most similar roles pay here $325k

This role pays more than 93% of similar roles. Most pay $171,875–$245,000 — the shaded band above. At the midpoint, this role pays about $288k versus about $208k for comparable roles.

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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Staff AI Engineer

Staff AI Engineer joins the Intelligent Foundations and Experiences team to develop and deploy proprietary AI solutions that enhance products for millions of customers. This role involves designing, testing, and supporting software components including foundation model training, large language model inference, similarity search, guardrails, and observability. The engineer will implement state-of-the-art LLM optimization techniques to improve performance metrics like latency, throughput, and cost while contributing to the long-term technical roadmap of foundational AI systems. Key technologies include PyTorch, Huggingface, VectorDBs, Nemo Guardrails, and AWS Ultraclusters. Candidates must possess strong skills in Python, Go, Scala, or Java, along with a deep understanding of hardware, software, and mathematics. The role focuses on solving complex problems related to building scalable, high-performance AI infrastructure and providing real-time, personalized experiences within the banking sector.

What does a AI Engineer earn in California?

Median $246150 from 84 postings across 12 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 technical solutions for similarity search, guardrails, model evaluation, experimentation, governance, and observability.
  • Apply state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput of production systems.
  • Utilize a broad stack of open-source and SaaS technologies including Huggingface, VectorDBs, PyTorch, and AWS Ultraclusters.
  • Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.
  • Translate complex scientific research into practical, high-performance production features for banking products.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, or AI with at least 8 years of experience developing AI/ML algorithms.
  • Master's degree in Computer Science, Engineering, or a related technical field with at least 6 years of experience developing AI/ML algorithms.
  • At least 8 years of experience programming with Python, Go, Scala, or Java.
  • Experience deploying scalable and responsible AI solutions on cloud platforms like AWS, Google Cloud, or Azure.
  • Experience architecting, designing, and supporting complex AI systems including LLM inference, similarity search, and vector databases.
  • Expertise in optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
  • Ability to lead multiple engineering teams and influence cross-functional stakeholders up to the VP level.
  • Strong communication skills to articulate complex AI concepts to peers and stakeholders.

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