Roblox
Senior Machine Learning Engineer (Ads)
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
$259,030 – $311,430 / year
Location:
San Mateo, CA, USA
Work mode:
Onsite
Published on:
21 October 2026
What they need
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
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 take a creative and strategic approach to solving hard problems. You simplify the complex. You bring in fresh ideas from new places
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
A BS in Computer Science or a related discipline, advanced degrees are a definite plus
You have 5+ 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
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