Capital One

Senior Lead AI Engineer

Capital One

full-time

Posted on:

Location Type: Remote

Location: CaliforniaNew YorkUnited States

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Salary

💰 $250,800 - $286,200 per year

Job Level

About the role

  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • Contribute to the technical vision and the long-term roadmap of foundational AI systems at Capital One

Requirements

  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
  • At least 6 years of experience programming with Python, Go, Scala, or Java
  • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
  • Experience designing, developing, integrating, delivering, and supporting complex AI systems
  • Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders
  • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
  • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options
  • Performance based incentive compensation
  • Comprehensive benefits supporting total well-being
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI software developmentML algorithmsPythonGoScalaJavaC++C#large language model inferencesimilarity search
Soft Skills
leadershipmentoringcross-functional collaborationinfluence
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in AIBachelor's degree in Electrical EngineeringBachelor's degree in Computer Engineering