[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 and scale embodied AI systems that power Roblox NPCs and next-generation ML platform capabilities. Contribute to data pipeline development, novel architecture training, and high-performance real-time inference for 10s–100s of autonomous NPCs. Work on AI platform components and distributed inference systems to serve LLMs and large recommender models at massive scale with low latency. Partner across teams to optimize GPU-based inference performance and reliability.

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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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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Build and scale embodied AI systems that power Roblox NPCs and next-generation ML platform capabilities. Contribute to data pipeline development, novel architecture training, and high-performance real-time inference for 10s–100s of autonomous NPCs. Work on AI platform components and distributed inference systems to serve LLMs and large recommender models at massive scale with low latency. Partner across teams to optimize GPU-based inference performance and reliability.
Location: San Mateo
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Design, build, and maintain data pipelines to collect complex 3D game states and real-time player actions across the platform.
  • •Solve feature extraction across games for NPC models and drive model training speed for novel deep learning architectures.
  • •Engineer high-performance model inference solutions for real-time deployment of 10s to 100s of autonomous NPCs.
  • •Build and maintain core ML platform components including Serving Layer, Model Registry, Pipeline Orchestrator, and training/inference control planes.
  • •Architect and implement scalable distributed inference systems and optimize inference engines for low-latency, high-throughput serving at massive scale.

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 related 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).
Education:PhD / Doctorate in Computer Science, Computer Engineering, Mathematics, Statistics, or related technical field
Languages:English
Tech Stack:KubernetesAWSAzureGCPGPULLMsLarge Recommender Models

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