Director of Engineering, Economy ML

Roblox Roblox · Consumer · San Mateo, CA · Software Engineering

Director of Engineering, Economy ML at Roblox. This role leads and scales a fast-growing ML organization focused on recommendation systems, ML infrastructure, search, content intelligence, and Generative AI applications within the Roblox Economy. The position involves defining strategy, building and scaling the team, partnering across departments, leading investments in next-generation ML systems, and establishing scalable ML development practices.

What you'd actually do

  1. Define and lead the long-term strategy for Economy ML across core modeling, recommendations, search, pricing, content intelligence, and ML systems.
  2. Build and scale a high-performing ML engineering organization, including managers and senior ICs.
  3. Partner across teams to help advance shared AI technologies, infrastructure, and modeling capabilities that power experiences throughout Roblox.
  4. Lead investments in next-generation ML systems, including large-scale recommendation models, foundation models, semantic retrieval, and Generative AI workflows.
  5. Establish scalable ML development practices across experimentation, feature engineering, model serving, training infrastructure, and evaluation.

Skills

Required

  • Machine learning systems
  • Recommendation systems
  • Search
  • Ranking
  • Large-scale distributed systems
  • ML infrastructure
  • Modern machine learning architectures
  • Generative AI
  • LLMs
  • Multi-modal models
  • Foundation models
  • High-throughput inference systems
  • Distributed training
  • Real-time personalization platforms
  • Hiring
  • Developing
  • Retaining engineering talent and leaders

Nice to have

  • Pricing
  • Content intelligence
  • Transformers
  • Multi-task learning
  • Retrieval systems
  • Multi-modal modeling
  • Virtual item intelligence
  • Avatar Marketplace
  • Payments
  • Developer Monetization
  • Subscriptions

What the JD emphasized

  • 12+ years of software engineering experience, including significant leadership experience managing engineering organizations.
  • Experience leading teams focused on machine learning, recommendation systems, search, ranking, or large-scale distributed systems.
  • Strong technical depth in ML systems, infrastructure, and modern machine learning architectures.
  • Experience with recommendation systems, marketplace/e-commerce ML, search, or ads systems.
  • Experience with Generative AI, LLMs, multi-modal models, or foundation model architectures.
  • Experience operating at large scale, including high-throughput inference systems, distributed training, or real-time personalization platforms.

Other signals

  • AI/ML is a top company priority
  • Massive real-world scale
  • Unique technical challenges
  • End-to-end ownership
  • Frontier innovation