Staff AI Engineer

Capital One Financial

Confirmed live yesterday Low trust

Remote

Quick summary

Work type: Remote
Location: San Francisco, CAMcLean, VACambridge, MANew York, NY
Employment: Full-time
Posted: 57 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Staff AI Engineer

Role Posting Log in to save

The Staff AI Engineer joins the Intelligent Foundations and Experiences team to develop responsible and reliable AI systems for banking. In this role, you will partner 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. You will invent state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput for production systems. The technical stack includes AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, Python, Go, Scala, Java, and C++. You will solve complex problems by applying novel research to build scalable, high-performance AI infrastructure that powers proprietary solutions and enhances customer interactions across the enterprise.

What does a AI Engineer earn in California?

Median $246150 from 100 postings across 17 companies.

See salary data

Skills

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

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 features.
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.
Partner with cross-functional teams to deliver AI-powered products for associates and customers.

What we're looking for

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 8 years of experience developing AI and ML algorithms.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 6 years of experience developing AI and ML algorithms.
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).
Experience developing and applying state-of-the-art techniques for optimizing training and inference software (preferred).

Save