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Distinguished AI Engineer

🔥 0 minutes ago

🏄 California, Virginia – Remote

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đź’µ $244.7k - $335.1k / year

⏰ Full Time

đźź  Senior

đź”´ Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

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Logo of Capital One

Capital One

10,000+ employees

🏦 Banking

đź’ł Fintech

đź’¸ Finance

đź’° Post-IPO Equity on 2023-05

Banking • Fintech • Finance

Capital One is a leading financial services company that specializes in offering credit cards, auto loans, banking, and savings accounts. With a focus on innovation and technology, Capital One aims to change banking for good by providing customer-friendly solutions and fostering a diverse and inclusive workforce. The company is known for its commitment to creating a positive impact in the banking industry through advanced digital tools and customer service excellence.

đź“‹ Description

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products • Design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability • Leverage Open Source and SaaS AI technologies including AWS Ultraclusters, Hugging Face, VectorDBs, NeMo Guardrails, and PyTorch • Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput of production AI systems • Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One

🎯 Requirements

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in a related field plus at least 6 years of experience • At least 8 years of experience programming with Python, Go, Scala, or Java • Experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems • Experience developing AI and ML algorithms or technologies, including LLM inference, similarity search, VectorDBs, guardrails, and memory, using Python, C++, C#, Java, or Golang • Experience developing and applying techniques to optimize training and inference software for hardware utilization, latency, throughput, and cost • Passion for staying current with AI research and applying novel techniques in production • Excellent communication and presentation skills, with ability to articulate complex AI concepts • Capital One will consider sponsoring a new qualified applicant for employment authorization

🏖️ Benefits

• Performance based incentive compensation, which may include cash bonus(es) 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

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