Staff AI Engineer

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Collaborate with engineers, research scientists, technical program managers, and product managers to create AI-driven products.

• Design, develop, test, deploy, and maintain AI software components, including foundation model training, LLM 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 implement cutting-edge LLM optimization techniques to enhance scalability, cost-effectiveness, latency, and throughput of production AI systems.

• Contribute to the technical vision and the long-term roadmap for foundational AI systems at Capital One.

⛳️ Requirements

• 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 such as AWS, Google Cloud, Azure, or equivalent private clouds.

• Proven experience in architecting, designing, developing, integrating, delivering, and supporting complex AI systems.

• 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, including LLM inference, similarity search, VectorDBs, guardrails, and memory, using Python, C++, C#, Java, or Golang.

• Familiarity with developing and applying advanced techniques for optimizing training and inference software.

• A strong passion for keeping up with AI research and AI systems.

• Outstanding communication and presentation skills.

• Capital One may 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, competitive, and inclusive health, financial, and other benefits supporting total well-being.

• Employment authorization sponsorship may be considered for a new qualified applicant.

• Reasonable accommodations for applicants who require them.