Distinguished AI Engineer

🕒 August 21

🏄 California, New York, +2 more states – Remote

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💵 $244.7k - $279.2k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

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Logo of Capital One

Capital One

10,000+ employees

🏦 Banking

💳 Fintech

💸 Finance

💰 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.

📋 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, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability • Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch • Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput of large-scale 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 fields plus at least 8 years of experience developing AI and ML algorithms or technologies; or a Master's degree in those fields plus at least 6 years of such experience • At least 8 years of experience programming with Python, Go, Scala, or Java • 8 years of experience deploying scalable and responsible AI solutions on cloud platforms is preferred • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems is preferred • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level is preferred • Experience developing AI and ML algorithms or technologies, including LLM Inference, Similarity Search and VectorDBs, Guardrails, and Memory, using Python, C++, C#, Java, or Golang is preferred • Experience developing and applying state-of-the-art techniques for optimizing training and inference software is preferred • Passion for staying abreast of the latest AI research and AI systems and applying novel techniques in production is preferred • Excellent communication and presentation skills are preferred

🏖️ 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 • Potential employment authorization sponsorship for a new qualified applicant • Reasonable accommodations for applicants who require them • Drug-free workplace

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