[2026] Senior Machine Learning Engineer (Systems), Embodied AI/NPCs, ML Platform - PhD Early Career

Roblox
San Mateo
Workplace: OnsiteFull timeUSD 196,750 - 243,290 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: []

Build systems that power Roblox’s embodied AI and ML platform, from collecting 3D game state data to training and deploying NPC models for real-time performance. Contribute to AI platform components (serving layer, model registry, pipeline orchestration) and architect distributed inference for LLMs and large recommender models. Optimize low-latency inference at massive scale using techniques like continuous batching, speculative decoding, and quantization.

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FursaFursa
Roblox
Roblox
2 months ago

[2026] Senior Machine Learning Engineer (Systems), Embodied AI/NPCs, ML Platform - PhD Early Career

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Build systems that power Roblox’s embodied AI and ML platform, from collecting 3D game state data to training and deploying NPC models for real-time performance. Contribute to AI platform components (serving layer, model registry, pipeline orchestration) and architect distributed inference for LLMs and large recommender models. Optimize low-latency inference at massive scale using techniques like continuous batching, speculative decoding, and quantization.
Location: San Mateo
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and maintain robust data pipelines to collect complex 3D game states and real-time player actions.
  • •Solve scalable feature extraction across games and drive training speed for novel deep learning architectures for NPCs.
  • •Engineer high-performance model inference solutions to support real-time deployment of 10s to 100s of autonomous NPCs.
  • •Build and maintain core ML platform components including the serving layer, model registry, pipeline orchestrator, and training/inference control planes.
  • •Architect and optimize scalable distributed inference systems for LLMs and large recommender models, including low-latency performance improvements on GPU systems.

Pay and Benefits

Salary: USD 196,750 - 243,290 annually
Equity and Bonus:Equity

Key Requirements

  • •Possessing or pursuing a Ph.D. in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field, with a thesis aligned to Roblox’s research areas.
  • •Built end-to-end ML pipelines and managed model inference and deployment.
  • •Experience with novel datasets and building real-world agentic applications.
  • •Scaled high-performance, high-availability architectures.
  • •Handled infrastructure using Kubernetes and major cloud providers (AWS, Azure, or GCP).
Experience:AILLMsAgentic applications
Education:PhD / Doctorate
Languages:English
Tech Stack:KubernetesAWSAzureGCPLLMsGPUContinuous batchingSpeculative decodingQuantization

Eligibility

Visa:H-1B

Company Brief

Roblox
Operates an online platform for user-generated games and virtual experiences, enabling creators to build, publish, and monetize interactive 3D experiences for a global community of players.
Industry: Gaming
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Mateo, United States
Founded: 2004
WebsiteLinkedIn