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RO

Senior Machine Learning Engineer (PhD Early Career) – Engine Optimization | Hybrid (Roblox)

Machine Learning Python Experimentation & Model Evaluation

About the Role

Roblox is seeking a Senior Machine Learning Engineer (PhD early career) to help improve engine performance through data-driven optimization. You’ll work on machine learning approaches that strengthen resource management and streaming so experiences load faster and run smoothly across devices.

Responsibilities

  • Develop and deploy machine learning models that improve engine efficiency and streaming behavior
  • Partner with engine and systems teams to translate performance goals into measurable ML outcomes
  • Design experiments, evaluate model impact, and iterate based on real-world performance data
  • Work with large-scale datasets and production telemetry to identify bottlenecks and optimization opportunities
  • Collaborate on scalable training and inference pipelines that meet reliability and latency requirements

Requirements

  • PhD (or equivalent research experience) in a relevant field such as machine learning, computer science, or engineering
  • Strong experience building ML models and applying them to performance or systems problems
  • Proficiency with Python and common ML frameworks
  • Experience with data pipelines, experimentation, and model evaluation in production-like environments
  • Ability to communicate technical ideas clearly and work effectively across teams

Benefits

  • Opportunity to solve impactful, large-scale technical challenges
  • Collaborate with experts across engineering and applied research
  • Contribute to safer, more responsive shared experiences for a global community
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Posted on July 15, 2026
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