Engineering Manager, Machine Learning Infrastructure, Ads
Roblox
Listing collected from Roblox's career site. NextChapter is independent of Roblox.
San Mateo, CA · $295k–$345k a year · Posted July 28, 2026
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Where San Mateo, CA ranks
Where San Mateo, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for engineering pay after cost of living$216k · of 94
- #1Best cities for finance pay after cost of living$162k · of 35
- #1Best cities for HR pay after cost of living$158k · of 15
- #1Best cities for legal pay after cost of living$238k · of 20
- #1Best cities for security pay after cost of living$241k · of 10
- #1Best cities for media and entertainment pay after cost of living$209k · of 9
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing pays about $320,145 a year. Across 404 open engineering manager listings that state pay, the middle half runs $160,000 to $273,000 and the median is $218,500. That is 47% above the median, above the middle half of those listings.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
AI use among architectural and engineering managers is little observed so far. Measured exposure for architectural and engineering managers: 3% (little observed).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
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.
With Roblox Ads business growing at a rapid rate, we are building large scale ads machine learning infrastructure to deliver effective performance ads to our users, and more business values to our advertisers.
We’re looking for an EM to lead a team of exceptional ML infrastructure engineers, build scalable, reliable, and high-performance infrastructure that powers ML systems across our organization. You’ll operate at the scales of hundreds of billions of engagements, and redefine how we deliver performance ads to hundreds of millions of users.
You Will:
Lead strategic planning and roadmap execution of scalable production-ready ML systems including model training, data pipelines, feature engineering and model inference.
Own the architecture, establish engineering best practices of scalability, reliability, and cost-effectiveness of ML infrastructure (e.g., training, serving, feature).
Work closely with data scientists, ML engineers, platform teams, and product stakeholders to design, implement, and operate robust ML platforms that accelerate model development and deployment.
Recruit, mentor, and grow a high-performing team of ML infrastructure engineers.
You Have:
5+ years of experience designing, building, and deploying large-scale machine learning systems in production environments.
2+ years of experience managing ML infrastructure engineers
End-to-End Execution: You’ve built ML systems from data ingestion to serving in production.
Team-first Mindset: A collaborative leader who thrives on mentoring and enabling others to succeed.
BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience.
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 $295,250 — $345,040 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 to candidates with qualifying disabilities or religious beliefs during the recruiting process.
For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.