This role pays more than
97%
of similar roles. Most pay
$176,200–$246,150
— the shaded band above.
At the midpoint, this role pays about
$306k
versus about
$211k
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
939 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 936 roles with salary data.
Sr. 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, multi-agent workflows, similarity search, guardrails, and model evaluation. The engineer will invent optimization techniques to improve performance metrics like scalability, cost, latency, and throughput while establishing company-wide standards for safety and transparency. Key technical requirements include proficiency in Python, Go, Scala, CUDA, or Java, alongside experience with PyTorch, Huggingface, VectorDBs, and AWS Ultraclusters. The position focuses on the core challenge of integrating advanced research into production ecosystems to create reliable, high-performance AI infrastructure while mentoring senior leaders across research, data, and engineering disciplines to advance the organization's technical roadmap.
What does a AI Engineer earn in California?
Median $246150 from 78 postings across 12 companies.
Design, develop, and deploy AI software components including foundation model training, LLM inference, and multi-agent workflows.
Implement state-of-the-art optimization techniques to improve performance, scalability, cost, and latency of production AI systems.
Define the technical architecture and long-term roadmap for foundational AI systems across the enterprise.
Establish company-wide standards for AI performance, safety, transparency, and governance.
Lead multi-year platform initiatives to unify data, compute, and model lifecycle management.
Mentor senior technical leaders across research, data, and engineering disciplines.
Integrate applied research breakthroughs into production ecosystems with high reliability and scale.
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/ML algorithms.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 8 years of experience developing AI/ML algorithms.
At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java.
Experience architecting AI platforms with trade-offs regarding cost, latency, throughput, and accuracy (preferred).
9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
Experience developing AI/ML algorithms using Python, C++, C#, Java, CUDA, or Golang (preferred).
Experience building agentic AI systems and agentic workflows (preferred).
Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership (preferred).
Remote (San Francisco, CA)+45 days ago
$286,200–$326,700
Machine Learning
LLM Inference
Python
Go
Scala
CUDA
Java
C++
C#
PyTorch
Huggingface
VectorDBs
AWS
Google Cloud
Azure
Model Evaluation
Agentic Workflows
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