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This listing doesn't post a salary. Most similar roles pay
$184,649–$248,500.
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.
JOB TITLE: Staff AI Engineer
The Staff AI Engineer joins the Intelligent Foundations and Experiences team to develop and deploy proprietary AI solutions that power core business functions. You will partner with cross-functional teams of research scientists and product managers to design, test, and support AI software components. Key responsibilities include foundation model training, large language model inference, similarity search, guardrails, model evaluation, and observability. You will invent state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput for production systems. The role requires proficiency with Python, Go, Scala, or Java, alongside experience with PyTorch, Huggingface, VectorDBs, and AWS Ultraclusters. You will solve complex technical problems by applying novel research to build responsible, scalable, and high-performance AI infrastructure for banking services.
What does a AI Engineer earn in California?
Median $246150 from 100 postings across 17 companies.
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.
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, 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).