Note: The job is a remote job and is open to candidates in USA. Capital One is building responsible and reliable AI systems to transform banking and deliver personalized customer experiences. The Staff AI Engineer will partner with cross-functional teams to build, deploy, and support scalable AI systems, optimize large language model infrastructure, and shape the long-term technical vision for foundational AI at Capital One.
Responsibilities
- 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
Skills
- * Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies
- * At least 8 years of experience programming with Python, Go, Scala, or Java
- * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production
- * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven
- * You are deeply technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss
- * You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown
- * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
- * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
- * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
- * 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
- * Master's degree in Computer Science, Computer Engineering, or relevant technical field
- * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
- * Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production
- * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
Benefits
- Remote work eligibility: Capital One is open to hiring a Remote Employee for this opportunity.
- 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.
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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