Senior Machine Learning Engineer, Ads

Roblox
San Mateo, CA

With Roblox’s daily active users growing at a record pace, we are seeking experienced machine learning engineers who thrive on solving complex challenges and designing scalable, ground breaking solutions. In this role, you will develop deep learning-based models for performance advertising business. Your work will lay the foundation to deliver effective performance ads to our users, and more business values to our advertisers.

You will build innovative machine-learning solutions to power ad ranking algorithms, and personalized advertising experiences. With our ads system still in its early stages, this is a unique opportunity to shape and develop a world-class, ML-driven advertising platform from the ground up.

 

You Will:


  • Drive the design and implementation of machine learning solutions for ad ranking algorithms.

  • Design and implement large scale recommendation models

  • Author specs for new features and improvement

  • Collaborate with other teams within Roblox to make sure we are building products with a community first approach.

  • Balance researching new technologies with a practical approach to accomplish the research efforts into the Roblox products

  • Communicate with the industry and communities where applicable and be ambassador for Roblox.

 

You Have:


  • You have 3+ years of experience designing and building scalable machine learning solutions to solve real-world production use cases. Experienced with transformer based model training, inference, and product integration are a plus.

  • A BS in Computer Science or a related discipline, advanced degrees are a definite plus.

  • You have initiated and facilitated challenging technical decisions across multiple teams and organizations.

  • While deeply technical, you always start with the needs of the user, whether they are Roblox users or internal engineers.

  • You take a creative and strategic approach to solving hard problems. You simplify the complex. You bring in fresh ideas from new places.

Posted 2025-10-31

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