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.
Machine Learning Engineering Manager – Economy ML
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.
- 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.
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 to candidates with qualifying disabilities or religious beliefs during the recruiting process.
Roblox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Roblox and has not been reviewed or approved by Roblox.
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Equity Value & Accessibility — Pay packages are frequently framed as highly lucrative due to meaningful equity components and upside, with equity refreshes reinforcing the total-rewards value beyond base pay. Technical and senior roles are associated with especially strong total compensation ranges that amplify the perceived attractiveness of equity-linked rewards.
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Wellbeing & Lifestyle Benefits — Office and lifestyle perks are positioned as a standout part of the rewards experience, including free daily meals, snack rooms, onsite gym access, commuter support, and lifestyle allowances. Wellness programming is described as broad, spanning mental-health support, health coaching, and flexible work arrangements that add day-to-day value.
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Retirement Support — Retirement offerings are described as notably strong, highlighted by a 401(k) match structure that meaningfully increases total rewards value. Financial benefits are further complemented by stock purchase access and related wealth-building programs.
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What We Do
Roblox is an immersive gaming and creation platform that offers people millions of ways to be together, inviting its community to explore, create and share endless unique experiences. Our vision is to reimagine the way people come together — in a world that's safe, civil, and optimistic. To achieve this vision, we are building an innovative company that, together with the Roblox community, has the ability to strengthen our social fabric and support economic growth for people around the world.
Why Work With Us
Every day, Roblox employees tackle complex questions and drive incredible innovation. Join us in building the future of human connection and communication.
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