About the job
At Roblox, we’re building the tools and platform that empower a global community of creators and developers to build immersive experiences and a dynamic virtual economy. Our Economy ML team sits at the heart of this mission, delivering scalable machine learning systems that power personalization, pricing, search, and content understanding across all Economy surfaces: Marketplace, Developer Monetization, Payments, and Avatar. We’re looking for a Distinguished Engineer/Technical Director to lead the strategy and technical direction for ML systems, with a focus on large-scale recommendations, infrastructure, and emerging Generative AI applications. You’ll help build the systems that support retrieval, ranking, generative modeling, and LLM-powered personalization, all at massive scale. This role requires deep systems thinking, hands-on ML expertise, and a vision for how traditional ML and GenAI come together to power the future of the Roblox economy.
Responsibilities
Set the technical direction for ML systems powering core economy experiences: personalization, ranking, generative modeling, and more
Build and evolve infrastructure for training, serving, and evaluating both traditional ML models and Generative AI models (e.g., embedding-based retrieval, transformers, LLM-based workflows)
Partner with GenAI teams to explore multi-modal embeddings, avatar generation, and retrieval-augmented generation (RAG) in economic surfaces
Lead efforts to optimize ML system performance: low-latency serving, efficient GPU training, and cost-aware inference strategies
Guide the development of robust ML pipelines, online feature stores, and experimentation platforms that support both predictive and generative use cases
Collaborate with EMs, tech leads, and product partners to align technical architecture with business priorities
Mentor senior engineers and help establish a strong technical culture across the Economy ML team
Ensure robustness, observability, and scalability of ML systems that power millions of daily economic interactions
Own the architecture behind some of Roblox’s most foundational ML systems
Work across groups at Roblox to advance the state of ML/AI at the company.
Help scale a fast-growing ML organization and define Roblox’s future economy intelligence stack
Solve real-world problems with real user impact, powering millions of personalized, intelligent economic interactions every day
Qualifications
Minimum
10+ years of experience in software engineering or ML infrastructure, with a strong focus on large-scale ML systems
Deep expertise in building recommendation systems, ranking infrastructure, or real-time personalization engines
Hands-on experience with Generative AI, such as transformer-based models, LLMs, embeddings, or RAG pipelines
Proven experience with distributed training, model deployment, and GPU-accelerated workflows
Strong understanding of ML system architecture: data pipelines, feature stores, inference optimization, experimentation tooling
Systems-first mindset with strong instincts around scale, cost, performance, and reliability
Track record of leading large technical initiatives and mentoring senior engineers
BS, MS, or PhD in Computer Science, Machine Learning, or a related field
Preferred
No preferred qualifications listed.