Senior Engineering Manager, Search and Discovery

Roblox Roblox · Consumer · San Mateo, CA · Machine Learning

Senior Engineering Manager for Search and Discovery ML team at Roblox, leading architects of exploration for one of the world's largest immersive platforms. Responsible for core algorithms connecting over 120 million daily active users with millions of 3D experiences, items, and social connections. This role directly determines the growth, retention, and satisfaction of the Roblox community, moving beyond traditional recommendation systems into multimodal, agentic, and generative discovery.

What you'd actually do

  1. Lead and grow a high-performing team of machine learning engineers, fostering a culture of ownership, collaboration, and engineering excellence.
  2. Establish a long-term strategic framework for the home page ML models
  3. Collaborate with the ML platform team, data science, and product teams to deliver SoTA ML models.
  4. Oversee the end-to-end development life cycle, ensuring timely delivery of high-quality, robust ML solutions.
  5. Mentor and coach team members, providing continuous feedback and career development guidance.

Skills

Required

  • 5+ years of management experience
  • 8+ years of experience building machine learning systems
  • Experience in hiring, managing, and mentoring senior machine learning engineers and technical leaders
  • Deep knowledgeable about the best practices for SoTA machine learning architecture and algorithms
  • Skill at driving technical strategy and roadmap planning in ambiguous and fast-paced environments
  • Established strong, collaborative relationships with cross-functional partners and senior leadership
  • Knowledge in the machine learning life cycle and the data requirements for training, serving, and monitoring models
  • Strong communication, both written and verbal, capable of articulating complex technical concepts to a diverse audience
  • A BS, MS, or PhD in Computer Science, or a related technical field or have equivalent practical experience
  • Experience with SoTA ML models and solutions
  • Experience with applying advanced ML solutions to product problems

Nice to have

  • Passion about fostering a high-trust, no-blame culture that prioritizes growth-oriented mentorship and psychological safety.

What the JD emphasized

  • high-impact leadership role
  • multimodal, agentic, and generative discovery

Other signals

  • leading ML engineers
  • recommendation systems
  • multimodal, agentic, and generative discovery