Roblox
Machine Learning Engineering Manager - Marketplace
Roblox - San Mateo, California, United States, 94409
Work at Roblox
Overview
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Overview
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 – Marketplace
At Roblox, our
Marketplace Search & Recommendation team
powers the discovery of avatar content across the platform—from bodies, clothing, and accessories to fully styled outfits—spanning the Roblox app and immersive in-experience surfaces. We’re reimagining how discovery and personalization can unlock creativity and economic opportunity for
millions of users and creators . 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. Annual Salary Range $289,460—$338,270 USD Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office 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.
Marketplace Search & Recommendation team
powers the discovery of avatar content across the platform—from bodies, clothing, and accessories to fully styled outfits—spanning the Roblox app and immersive in-experience surfaces. We’re reimagining how discovery and personalization can unlock creativity and economic opportunity for
millions of users and creators . 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. Annual Salary Range $289,460—$338,270 USD Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office 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.