
Staff AI Engineer
Posted Sep 1

Posted Sep 1
This is a fully remote position, open to applicants in California, +3 more states.
• Collaborate with engineers, research scientists, technical program managers, and product managers to create AI-driven products.
• Design, develop, test, implement, and maintain AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Utilize Open Source and SaaS AI technologies, such as AWS Ultraclusters, Hugging Face, VectorDBs, NeMo Guardrails, and PyTorch.
• Innovate and deploy cutting-edge LLM optimization techniques to enhance scalability, cost efficiency, latency, and throughput of large-scale production AI systems.
• Contribute to the technical vision and long-term strategy for foundational AI systems at Capital One.
• Bachelor's degree in Computer Science, Engineering, or AI along with a minimum of 8 years of experience in developing AI and ML algorithms or technologies, or a Master's degree with at least 6 years of relevant experience.
• At least 8 years of programming experience in Python, Go, Scala, or Java.
• 8 years of experience in deploying scalable and responsible AI solutions on cloud platforms like AWS, Google Cloud, Azure, or comparable private cloud environments.
• Proven experience in architecting, designing, developing, integrating, delivering, and supporting complex AI systems.
• Demonstrated capability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level.
• Experience in developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang.
• Proficient in developing and applying state-of-the-art techniques for optimizing training and inference software.
• A Master's degree in Computer Science, Computer Engineering, or a related technical field is preferred.
• Exceptional communication and presentation abilities.
• Capital One is open to sponsoring a new qualified applicant for employment authorization.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI).
• Comprehensive, competitive, and inclusive health, financial, and other benefits that support overall well-being.
• Reasonable accommodations available for applicants who require them.
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