Distinguished Engineer, Machine Learning Systems – Economy

Roblox
San Mateo, CA, USA2025-10-15

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.