Senior Distinguished Engineer, AI Compute

🕒 May 9

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

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

💵 $286.2k - $392k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

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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

• Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform • Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics • Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows • Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models • Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions • Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities • Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool.

🎯 Requirements

• 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 • Master’s Degree in Computer Science or a Master’s Degree in Software Engineering (Preferred) • Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) (Preferred) • Experience building platforms that support LLM training, fine-tuning, or high-throughput inference (Preferred) • Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies (Preferred) • History of upstream contributions to major distributed systems projects (Preferred).

🏖️ Benefits

• Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.