Machine Learning Engineering Manager – Economy ML

1 Month ago • 3 Years + • Research Development • $289,460 PA - $338,270 PA

Job Summary

Job Description

The Economy ML team at Roblox is building the machine learning backbone for the Marketplace, Developer Monetization, and Payments ecosystems. This role involves leading a team of ML engineers to tackle core challenges in ranking, retrieval, and multimodal content understanding. Responsibilities include advancing deep learning models for search and recommendation, developing systems for avatar content understanding, and driving long-term value for the Roblox economy through intelligent pricing and personalized storefronts.
Must have:
  • Define and drive the technical roadmap for ML across Search, Recommendation, and Content Understanding.
  • Lead the development of scalable, production-ready ML systems.
  • Collaborate cross-functionally with product, design, and data science.
  • Recruit, mentor, and grow a high-performing team of ML engineers.
  • Establish engineering best practices for system reliability, extensibility, and performance.
  • 3+ years managing ML engineers or scientists.
  • 5+ years building ML systems at scale in search, recommender systems, or ads.
  • Proven track record shipping deep learning models across ranking, retrieval, NLP, computer vision, or multimodal pipelines.
  • Built ML systems from data ingestion to serving in production.
  • Strategic thinking to balance near-term impact with long-term innovation.
  • Collaborative leader with a team-first mindset.
Good to have:
  • Experience using transformer architectures in production systems
  • Experience using LLMs in production systems
Perks:
  • Equity compensation
  • Benefits

Job Details

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 Economy ML team is building the machine learning backbone that powers Roblox’s Marketplace, Developer Monetization, and Payments ecosystems. From intelligent pricing and personalized storefronts to dynamic layout optimization and avatar understanding, we’re reimagining how the Roblox economy drives user engagement, monetization, and creator success at scale.

We’re looking for a Machine Learning Engineering Manager to lead a team of exceptional ML engineers tackling core challenges across ranking, retrieval, and multimodal content understanding. This includes everything from advancing deep learning models for search and recommendation, to developing systems that understand the textual and visual semantics of avatar content and drive long-term value for the Roblox economy.

You Will::

  • Define and drive the technical roadmap for ML across Search, Recommendation, and Content Understanding.
  • Lead the development of scalable, production-ready ML systems—from raw data to model deployment.
  • Collaborate cross-functionally with product, design, and data science to build intelligent discovery experiences.
  • Recruit, mentor, and grow a high-performing team of ML engineers.
  • Establish engineering best practices to ensure system reliability, extensibility, and performance.

You Have:

  • Leadership Experience: 3+ years managing ML engineers or scientists; 5+ years building ML systems at scale in search, recommender systems, or ads.
  • Strong Technical Foundation: Degree in Computer Science, Engineering, Math, Physics, or a related field—or equivalent hands-on experience.
  • Depth in ML: Proven track record shipping deep learning models across ranking, retrieval, NLP, computer vision, or multimodal pipelines. Experience using transformer architectures and LLMs in production systems is a strong plus.
  • End-to-End Execution: You’ve built ML systems from data ingestion to serving in production.
  • Strategic Thinking: You’re comfortable balancing near-term impact with long-term innovation.
  • Team-first Mindset: A collaborative leader who thrives on mentoring and enabling others to succeed.

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 as described on this page.

Annual Salary Range

$289,460—$338,270 USD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

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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San Mateo, California, United States (On-Site)

San Mateo, California, United States (On-Site)

San Mateo, California, United States (On-Site)

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San Mateo, California, United States (Hybrid)

San Mateo, California, United States (Remote)

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