Staff AI Engineer

🔥 0 minutes ago

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

🏄 California – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote ⚔️ Virginia – Remote

💵 $244.7k - $335.1k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Capital One

WebsiteLinkedInAll Job Openings

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 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 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, 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 • 8 years of 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 • 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 using Python, C++, C#, Java, or Golang • Experience developing and applying state-of-the-art techniques for optimizing training and inference software • Master's degree in Computer Science, Computer Engineering, or relevant technical field (preferred) • Excellent communication and presentation skills • 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 • Reasonable accommodations for applicants who require them