ML Engineer Jobs at Roblox with Visa Sponsorship
ML Engineer jobs at Roblox center on applied research, recommendation systems, and real-time infrastructure at scale. The company has a consistent track record of sponsoring work visas across multiple categories for ML Engineers, making it a realistic target if you're navigating the U.S. immigration system.
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Get Access To All JobsINTRODUCTION
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.
ROLE AND RESPONSIBILITIES
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.
BASIC QUALIFICATIONS
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.
COMPENSATION
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.
INTRODUCTION
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.
ROLE AND RESPONSIBILITIES
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.
BASIC QUALIFICATIONS
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.
COMPENSATION
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.
Tips for Finding ML Engineer Jobs at Roblox
Tailor your portfolio to Roblox's ML stack
Roblox ML roles frequently focus on ranking systems, content moderation, and real-time inference. Showcasing projects in these areas, with measurable outcomes, signals direct fit before your resume ever reaches a recruiter.
Verify your visa category before applying
Roblox sponsors several nonimmigrant categories, including H-1B, E-3, TN, and H-1B1 visa. Knowing which category fits your nationality and degree before your first interview lets you answer sponsorship questions confidently and avoids surprises during offer negotiation.
Time your application around H-1B cap deadlines
If you need H-1B sponsorship, USCIS opens registration in March for an October 1 start date. A Roblox offer finalized after April may push your start to the following fiscal year, so factor that gap into your job search timeline.
Use OPT strategically to get your foot in the door
F-1 graduates can start on OPT while a full H-1B petition is prepared. Roblox sponsors both, so joining on OPT with a clear transition plan already discussed removes a common barrier that stalls offers at the hiring manager level.
Prepare for technical rounds that reflect production ML systems
Roblox interviews for ML Engineer roles emphasize system design for large-scale models and latency-sensitive pipelines, not just algorithm theory. Practicing distributed training architectures and model serving patterns puts you in a stronger position than standard LeetCode prep alone.
Find and track Roblox ML openings through Migrate Mate
Sponsorship-confirmed ML Engineer roles at Roblox can be hard to surface through general job boards. Use Migrate Mate to filter specifically for Roblox positions across the visa categories you qualify for, so you're applying to roles with confirmed sponsorship history.
Frequently Asked Questions
Does Roblox sponsor H-1B visas for ML Engineers?
Yes, Roblox sponsors H-1B visas for ML Engineer roles. The company has a consistent pattern of filing H-1B petitions for technical positions across its engineering organization. If you're on F-1 OPT, Roblox also supports the transition to H-1B visa status, though you'll need to account for the annual USCIS lottery and the October 1 cap-subject start date.
How do I apply for ML Engineer jobs at Roblox?
Applications go through Roblox's careers portal, where ML Engineer roles are listed under the Engineering or Data Science categories. For a filtered view that confirms visa sponsorship eligibility, Migrate Mate lets you browse open Roblox ML positions by the visa categories you qualify for. The process typically involves a recruiter screen, technical assessments, and a final loop before an offer stage.
Which visa types does Roblox commonly use for ML Engineers?
Roblox sponsors a range of visa types for ML Engineer roles, including H-1B, H-1B1 visa (for Chilean and Singaporean nationals), E-3 visa (for Australian nationals), TN visa (for Canadian and Mexican nationals), F-1 OPT, and employment-based Green Cards through the EB-2 and EB-3 categories. The right category depends on your nationality, degree, and how quickly you need authorization to start.
What qualifications does Roblox expect for ML Engineer roles?
Most ML Engineer postings at Roblox require a bachelor's or master's degree in computer science, machine learning, or a related field, along with hands-on experience building and deploying models at scale. Roles focused on recommendations, safety, or infrastructure tend to weight systems design and production ML experience heavily alongside research depth. A PhD can be an advantage for more research-oriented positions.
How long does the visa sponsorship process take at Roblox?
Timeline depends on your visa category. H-1B cap-subject cases filed in April won't authorize employment until October 1 at the earliest, a six-month gap that can affect your start date negotiation. E-3 and TN cases move faster, often resolving within a few weeks through consular processing. USCIS premium processing is available for H-1B petitions and reduces adjudication to 15 business days once the petition is filed.