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Machine Learning Platform Engineer

  • Full Time
  • San Mateo
  • Posted 1 month ago

Job description

  • Company Overview: Roblox is not just a game platform but a global platform where tens of millions of people come daily to explore, create, play, learn, and connect in immersive 3D digital experiences. These experiences are built by a community of developers and creators, using the tools we develop to bring their imaginations to life. Our mission is ambitious: to connect a billion people around the world with optimism and civility. 
  • Company Culture: Working at Roblox means you’ll be at the forefront of redefining how people come together. We’re committed to solving complex challenges at scale, fostering a safe and inclusive environment, and building innovative tools that enhance user interaction.
  • Work Opportunities: As a Machine Learning Platform Engineer, you will build foundational systems for our next-generation ML ecosystem. This role is crucial in empowering developers and creators to transition from ML concept to production swiftly and efficiently. You will be instrumental in developing large-scale ML systems from scratch.
  • Role Overview: You will report to the Engineering Manager and work in the Machine Management layer, focusing on creating robust, scalable solutions for machine learning infrastructure that supports a wide range of ML initiatives across Roblox.
  • Responsibilities:
    • Develop service APIs for ML infrastructure components like Serving Layer, Metadata Store, Model Registry, Feature Store, and Pipeline Orchestrator.
    • Work closely with partner teams to optimize models and develop tooling that enhances the ML development cycle.
    • Design and implement systems that support end-to-end ML pipeline development and automation.
  • Desired Experience:
    • 3+ years of professional experience in scalable, distributed systems.
    • Proven expertise in the Model Development Lifecycle and deployment of ML models in production, ideally at scale.
    • Familiarity with GPU utilization, distributed training, and optimization of large-scale ML systems.
  • Additional Skills: 
    • Strong background in developing features for ML platforms that improve user experience for machine learning engineers and data scientists. 
    • Knowledge of data and model management best practices, especially in handling unstructured vs structured data.
  • Application Note: We are looking for candidates who are passionate about pushing the technological envelope and eager to tackle unknown challenges. If you’re excited about building cutting-edge ML systems and transforming the Roblox platform, we encourage you to apply.
  • Compensation: The full-time position offers a base salary ranging from $233,840 to $283,780, depending on experience and qualifications. Benefits include equity compensation, comprehensive health coverage, a rewarding 401k program, and more.


Job overview​

Data posted

1 month ago


San Mateo



Employment Type

Full Time

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