[2025] Senior Machine Learning Engineer, PhD New Grad - ML Platform

San Mateo, CA, United States

Roblox

Roblox is the ultimate virtual universe that lets you create, share experiences with friends, and be anything you can imagine. Join millions of people and discover an infinite variety of immersive experiences created by a global community!

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Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. 

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. 

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

The vision of the Foundation AI Group is to build and train a foundational model for 3D generation, in addition to enabling all other AI pipelines.

The goal of this group is to make Roblox the standard for 3D foundational models (3DFMs) and open source the project for wider industry adoption. This will increase the amount of high-quality, immersive 3D experiences by making it easy for anyone to generate real-world simulations using AI.

ML Platform @ Roblox today supports hundreds of ML use cases and billions of inferences per day across Discovery, Safety, Engine, and much more.

You Will:

  • Optimize machine learning models for performance on GPU architectures, focusing on both training and inference workflows.
  • Conduct low-level performance profiling analysis to identify bottlenecks in existing machine learning pipelines and propose actionable improvements.
  • Contribute to the development of standard methodologies and tooling for model optimization and deployment.
  • Foster collaboration with cross-functional teams, including data scientists and software engineers, to integrate and deploy optimized models into production environments.
  • Mentor less experienced engineers and help us build a renowned ML team.
  • Ensure that our systems are scalable, reliable, and extensible.
  • Partner across organizations to build tooling, interfaces, and visualizations that make the ML@Roblox a delight to use.

You Have:

  • Possesses or pursuing a Ph.D. or equivalent experience in Computer Science, Computer Engineering, Data Science, or a similar technical degree.
  • Experience with one or more of the following areas: search, recommendation, or advertising for a high-scale product.
  • Experience with model optimization techniques for LLMs, such as speculative decoding, continuous batching, quantization, etc.
  • Experience debugging GPUs - reading GPU profiles, debugging Xid errors, etc.
  • Knowledgeable: Experience building and working on end-to-end ML systems, including data analysis, ML modeling, and data pipelines.
  • Collaborative: You enjoy working with and leading engineers and can help them to accomplish the impossible.
  • Creative: You take a creative and strategic approach to solving hard people and technical problems. You engage well with Product and can navigate an organization to promote clarity and improvement.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits.

Annual Salary Range$218,540—$218,540 USD

Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted).

You’ll Love: 

  • Industry-leading compensation package
  • Excellent medical, dental, and vision coverage
  • A rewarding 401k program
  • Flexible vacation policy (varies by exemption status)
  • Roflex - Flexible and supportive work policy 
  • Roblox Admin badge for your avatar
  • At Roblox HQ: 
    • Free catered lunches five times a week and several fully stocked kitchens with unlimited snacks
    • Onsite fitness center and fitness program credit
    • Annual CalTrain Go Pass

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations for all candidates during the interview process.

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Tags: Architecture Computer Science Data analysis Data pipelines Engineering GPU LLMs Machine Learning ML models Open Source PhD Pipelines

Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Health care Unlimited paid time off

Region: North America
Country: United States

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