Senior Staff AI Engineer

🕒 September 25

🏄 California, New York, +2 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote ⚔️ Virginia – Remote

💵 $286.2k - $392k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Capital One

WebsiteLinkedInAll Job Openings

10,000+ employees

🏦 Banking

💳 Fintech

💸 Finance

💰 Post-IPO Equity on 2023-05

Banking • Fintech • Finance

Capital One is a leading financial services company that specializes in offering credit cards, auto loans, banking, and savings accounts. With a focus on innovation and technology, Capital One aims to change banking for good by providing customer-friendly solutions and fostering a diverse and inclusive workforce. The company is known for its commitment to creating a positive impact in the banking industry through advanced digital tools and customer service excellence.

📋 Description

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products • Design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability • Leverage open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch • Invent and introduce state-of-the-art foundation model optimization techniques to improve scalability, cost, latency, and throughput • Contribute to the technical vision and long-term roadmap of foundational AI systems • Define and steer technical AI architecture, integrating applied research into reliable, scalable production ecosystems • Establish AI performance, safety, and transparency standards for company-wide model development and deployment • Drive multi-year platform initiatives unifying data, compute, and model lifecycle management under an enterprise AI architecture • Mentor senior technical leaders across research, data, and engineering disciplines

🎯 Requirements

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field plus at least 10 years of experience developing AI and ML algorithms or technologies; or Master's degree in a related field plus at least 8 years of such experience • At least 10 years of programming experience with Python, Go, Scala, CUDA, or Java • Preferred: Experience architecting AI platforms with cost, latency, throughput, and accuracy tradeoffs • Preferred: 9+ years deploying scalable and responsible AI solutions on cloud platforms • Preferred: Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems • Preferred: Ability to lead and mentor multiple engineering teams and influence senior cross-functional stakeholders • Preferred: Experience with AI/ML technologies including LLM inference, similarity search, VectorDBs, guardrails, and memory • Preferred: Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost • Preferred: Experience building agentic AI systems and workflows • Preferred: Experience with current AI research and applying novel techniques in production • Preferred: Excellent communication and presentation skills for articulating complex AI concepts • Preferred: Industry leadership in applied AI or machine learning infrastructure through patents, publications, or open-source leadership • Preferred: Experience designing long-term AI infrastructure strategies balancing cost, scale, ethics, and regulatory compliance • Preferred: Experience driving organization-wide AI safety, alignment, and governance standards • Preferred: Ability to shape R&D investment strategy around breakthrough AI capabilities • Preferred: Experience right-sizing models, instance counts, and hardware types • Capital One will consider sponsoring a new qualified applicant for employment authorization

🏖️ Benefits

• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI) • Comprehensive health, financial, and other benefits supporting total well-being • Reasonable accommodations for applicants with disabilities

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