Capital One
Banking
SrDistinguishedAIEngineer
“Sr Distinguished AI Engineer at Capital One. Skills: AI, ML, foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, observability, AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, Python, LLM Optimization. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experime”
What You'll Achieve.
deliver AI-powered products that change how our associates work and how our customers interact with Capital One; deliver value to millions of customers; achieve business goals when the route is unknown
Industry & Context.
digging deep to uncover the root of problems; clarity to big, undefined problems
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, At least 10 years of experience programming with Python, Go, Scala, or Java
Nice to Have
9 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 enterprise AI systems, Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP 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, 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 abreast 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
What You'll Do.
and support AI software components including foundation model training
large language model inference
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability
throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems
How You'll Work.
Team & Collaboration
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products; work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering; empower teams across Capital One to enhance their products with the transformative power of AI; influence cross-functional stakeholders up to the SVP level
Communication Scope
articulate complex AI concepts to peers; articulate your findings concisely with clarity
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