Director, AI Engineering

🔥 12 hours ago

🏄 California, New York, +1 more states – Remote

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💵 $244.7k - $335.1k / year

⏰ Full Time

🔴 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 • Oversee design, development, testing, deployment, and support of AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability • Make build-versus-buy decisions across open-source and SaaS AI technologies • 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 • Attract and retain AI talent and nurture team members' personal and professional development • Mentor and coach team members and foster a culture of learning and staying current with AI developments

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing or leading AI and ML algorithms or technologies, or Master's degree plus at least 6 years of such experience • At least 3 years of people leadership experience • Preferred: 5 years of experience managing and leading an engineering team • Preferred: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud • Preferred: Master's degree in Computer Science, Computer Engineering, or relevant technical field • Passion for staying up to date with the latest AI research and AI systems and applying novel techniques in production • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers • Strong foundation in engineering and mathematics • Expertise in hardware, software, and AI • Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

🏖️ Benefits

• Performance-based incentive compensation, including cash bonus(es) and/or long-term incentives (LTI) • Comprehensive health, financial, and other benefits supporting total well-being • Employment authorization sponsorship may be considered for a new qualified applicant • Reasonable accommodations for applicants with disabilities

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