Senior Engineering Manager, AI Research and Development

Robinhood Robinhood · Fintech · Bellevue, WA +1 · ENG Data and AI Platform Division

Senior Engineering Manager to lead AI Research and Development at Robinhood, focusing on building and scaling foundational AI/ML infrastructure, productionizing LLMs and advanced models for customer-facing features and internal optimizations, and guiding a team of engineers and applied ML specialists. The role emphasizes leadership, cross-functional partnership, and establishing robust engineering processes for reliable AI delivery.

What you'd actually do

  1. Lead, mentor, and scale a high-performing organization of engineers, managers, and applied ML specialists, providing technical guidance, regular feedback, and support for career growth.
  2. Guide model development and evaluation, ensuring AI applications are highly performant, secure, and ready to serve millions of customers.
  3. Partner cross-functionally with product, design, infrastructure, and other executive leaders to ensure AI platforms meet the complex needs of Robinhood’s diverse business lines.
  4. Establish clear engineering processes to ensure reliable delivery, code quality, and system scalability across multiple teams.

Skills

Required

  • Proven engineering leadership experience
  • track record of supporting performance, hiring top talent, managing managers, and driving organizational development
  • Hands-on experience in Applied Machine Learning
  • productionizing applications that leverage LLMs and advanced models
  • Deep understanding of ML infrastructure, platforms
  • complexities of deploying AI safely and securely across an enterprise
  • execution-focused mindset
  • translating complex business and product goals into clear technical milestones and organizational strategy

Nice to have

  • passion for developer-facing platforms

What the JD emphasized

  • productionizing applications that leverage LLMs and advanced models to build real-world products
  • deploying AI safely and securely across an enterprise

Other signals

  • leading AI/ML infrastructure
  • productionizing LLMs and advanced models
  • deploying AI safely and securely