Engineering Manager, Machine Learning Infrastructure, Ads

Roblox

San Mateo, Ca, United States
Onsite
Posted 2026-07-28

Make my CV for this job, free View job and applyYour CV, rewritten for this role using only your real experience. Sign in with Google and upload your CV. Nothing to install.

Skills named in this job

Machine learning

Read from the description itself, not inferred.

This role on the market

2,030 open infrastructure roles across 290 companies are on ApplySarthi right now, most of them in Bengaluru (66), Hyderabad (28), Delhi NCR (12).

Member of technical staff (Infrastructure) - ParisHcompany
Platforms and Infrastructure EngineerEnactintelligence
Engineering Manager - InfrastructureCamunda
Senior Backend Engineer: Machine Learning InfrastructureConstructor
Senior Infrastructure EngineerRivia

What infrastructure roles keep asking for: AWS (30%), System design (22%), Kubernetes (21%), Python (21%), Observability (19%), Terraform (15%), CI/CD (13%), Linux (12%) — counted across their open postings here.

Engineering Manager jobs in the United States · Remote Engineering Manager jobs · Machine learning jobs

Roblox has 257 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for infrastructure roles keep coming back to AWS, System design, Kubernetes, Python. Practise those questions before you sit with Roblox.

Questions you are likely to be asked

Why do you want to join Roblox?
What is your experience with Machine learning? Tell me one thing you learned the hard way.
Tell me about a time the data was messy or wrong. What did you do?
How would you explain your model's result to someone who is not technical?
What would you check first if a model's accuracy dropped after going live?

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

Practise the Engineering Manager, Machine Learning Infrastructure, Ads at Roblox interview free →

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.

Match this job to your CV

ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.

Check my match →

Similar open roles

Need answers during your interview? Try Live Sarthi.

Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.

Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
Answers start in about 1.5 secondsResponse time varies with your connection and model.
From your own CVYour projects and your experience, not a generic script.
30 minutes freeThen ₹99 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.

Try Live Sarthi free →

A Windows app, from the same team as ApplySarthi.

Listed on greenhouse · posted 2026-07-28. ApplySarthi collects openings and links to application pages; the role is advertised by Roblox, not by us.