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Distinguished Engineer (Machine Learning Systems, Economy)

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Onsite

Distinguished Engineer (Machine Learning Systems, Economy)

Roblox

Distinguished Engineer (Machine Learning Systems, Economy)

Skills

Machine LearningAI

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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