Technology jobs in San Francisco, CA

About the role

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

What you'll bring

• Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
• At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java
• Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy
• Experience designing, developing, delivering, and supporting AI services
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Experience in building agentic AI systems and agentic workflows
• Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
• Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale
• Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules
• Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms
• Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
• The minimum and maximum full-time annual salaries for this role are listed below, by location.

Locations