Roblox
Distinguished Engineer (Machine Learning Systems, Economy)
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
$391,590 – $448,990 / year
Location:
San Mateo, CA, USA
Work mode:
Onsite
Published on:
21 October 2026
What they need
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
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
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
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
BS, MS, or PhD in Computer Science, Machine Learning, or a related field
Deep expertise in building recommendation systems, ranking infrastructure, or real-time personalization engines
Proven experience with distributed training, model deployment, and GPU-accelerated workflows
Hands-on experience with Generative AI, such as transformer-based models, LLMs, embeddings, or RAG pipelines
10+ years of experience in software engineering or ML infrastructure, with a strong focus on large-scale ML systems
Track record of leading large technical initiatives and mentoring senior engineers
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