Distinguished Engineer, Machine Learning Systems – Economy

At Roblox were 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.

Were 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. Youll 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.

Why Roblox for ML Systems

• AI/ML is a top company priority with long-term investment.
• Real-world scale: Power millions of daily economic interactions across ranking pricing fraud and search.
• Full-system ownership: Build and optimize end-to-end ML pipelines; from data ingestion to GPU training to live inference.
• Complex surfaces rich signals: Design systems for 3D content UGC avatar metadata behavioral and economic signals not just text or images.
• Impact meets innovation: Shape the future of the Roblox economy while working on frontier ML infra and GenAI workflows.

You will:

• 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 Robloxs 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 Robloxs future economy intelligence stack
• Solve real-world problems with real user impact powering millions of personalized intelligent economic interactions every day

You have:

• 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