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# Distinguished Engineer, Machine Learning Systems

- **Company:** Roblox
- **Location:** San Mateo, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Encodings, Distributed Computing Environment, Machine Learning, Recommender Systems, Software Engineering, Systems Architecture, Graphics Processing Unit (GPU), Data Ingestion, Large Language Models, Generative AI, Information Technology, Roblox, Machine Learning Operations, GPT, Data Pipelines
- **Published:** June 14, 2026
- **Apply:** https://careers.roblox.com/jobs/7332473?gh_jid=7332473

## About the Role

* 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

## Description

* 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 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


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