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Senior Machine Learning Engineer (Ads)

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Onsite

Senior Machine Learning Engineer (Ads)

Roblox

Senior Machine Learning Engineer (Ads)

Skills

Deep LearningMachine Learning

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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