AI ML Engineer Jobs at Roblox with Visa Sponsorship
AI ML Engineer jobs at Roblox involve building infrastructure at the intersection of gaming, simulation, and real-time user interaction. The company has an established track record of sponsoring work visas for AI ML Engineers, supporting candidates across multiple visa categories from initial authorization through longer-term employment.
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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.
WHY DATA SCIENCE & ANALYTICS?
The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product groups, we use this vast tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure the impact on our community of players and developers.
WHY Consumer Apps?
Roblox is used by tens of millions of people every day across a wide range of devices, including mobile, desktop, console, TV, and VR. The Consumer Apps team owns the app foundation that makes Roblox feel fast, fluid, and reliable for players and is dedicated to delivering superior performance, reliability, and user experience across all platforms Roblox supports. This team ensures a seamless and engaging user interface that facilitates intuitive interactions while enabling efficient, high-quality experiences across devices. Innovation is at the core of our work, as we continuously enhance features and integrate cutting-edge technologies to solve complex problems.
As a Data Scientist on the team, you will help accelerate Roblox's growth by shaping how we launch and optimize Roblox across the diverse device ecosystems where people connect, play, and co-experience. You will partner with Mobile, Desktop, Console, and emerging-platform teams to identify opportunities and develop platform-specific strategies that make Roblox feel best-in-class on every device. You will use data to guide investments across platform expansion, platform-specific product experiences, and ecosystem partnerships. You will develop measurement and experimentation frameworks to understand both the direct and broader ecosystem impact of these investments, helping teams identify growth opportunities, make informed tradeoffs, and continuously improve the Roblox experience while expanding universal access.
You Will:
- Identify high-potential platform levers and apply causal methods to understand their impact on user behavior, engagement, monetization, and other topline outcomes, translating these insights into platform-specific strategies.
- Develop deep expertise in the unique dynamics of each platform — including how the product is experienced, how user cohorts differ, and what drives their behavior — and proactively bring this perspective to broader research and cross-functional decision-making to identify opportunities and explain differences in product and business outcomes.
- Build visibility into platform-level business performance and establish growth targets informed by internal data, market research, and competitive insights.
- Design and analyze experiments to evaluate product launches, inform iteration, and drive rigorous, data-informed product decisions.
- Advance how we measure product impact by developing innovative measurement and causal inference approaches where traditional A/B testing is not feasible, expanding the range of platform investments we can evaluate with rigor and confidence.
- Elevate data and experimentation rigor across the broader team by building scalable frameworks and practices around experiment design, success metrics, launch criteria, and launch readiness — helping teams launch confidently and consistently.
- Build scalable monitoring and diagnostic capabilities that enable teams to quickly identify trends, investigate changes, and understand root causes.
- Partner across Data Science, Product, and Engineering — including Growth, Discovery, Social, and other product areas — to connect insights across surfaces, understand how platform and product changes affect the broader ecosystem, and translate complex data into actionable recommendations that shape strategy and drive impactful platform improvements.
You Have:
- An advanced degree in Statistics, Applied Mathematics, Physics, Engineering, Computer Science, Economics, or a related quantitative field.
- 8+ years of industry experience in Data Science or a related quantitative discipline, preferably working on consumer-facing products or applications.
- Strong analytical and technical skills, with proficiency in Python or R, SQL, and large-scale data processing and workflow tools such as Spark and Airflow.
- Deep expertise in statistical analysis, causal inference, experimentation, and measurement methodologies, with a track record of applying these techniques to shape product strategy and drive business outcomes.
- Demonstrated ability to independently lead ambiguous, high-impact problem spaces, applying first-principles thinking to develop novel frameworks, approaches, and solutions.
- Proven ability to influence across Product, Engineering, Design, Data Science, and leadership, shaping strategy, prioritizing investments, and driving alignment across organizational boundaries.
- Exceptional communication and storytelling skills, with the ability to distill complex, high-dimensional problems into clear insights and actionable recommendations for both technical and executive audiences.
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 AI ML Engineer Jobs at Roblox
Align your portfolio with Roblox's AI focus
Roblox's AI ML work spans recommendation systems, content moderation, avatar generation, and real-time simulation. Frame your projects and GitHub work around at least one of these domains before applying, so your experience maps directly to their open roles.
Verify your OPT timeline before your first interview
F-1 OPT gives you 12 months of work authorization, with a 24-month STEM extension available for qualifying degrees. Confirm your OPT end date before scheduling screens so you and Roblox's recruiting team can plan the H-1B petition window without surprises.
Target roles explicitly scoped to ML infrastructure
Roblox posts AI ML Engineer roles across distinct tracks, including model training pipelines, inference optimization, and applied research. Applying to roles that match your deepest technical specialty, rather than casting wide, increases your chance of clearing Roblox's technical screen.
Raise visa type early in recruiter conversations
Roblox sponsors multiple visa categories, so clarifying which applies to you during the recruiter screen prevents downstream delays. If you hold an E-3 or TN, confirm the hiring team understands those are separate from the H-1B cap and require different filing timelines.
Use Migrate Mate to identify open AI ML roles at Roblox
Visa-eligible AI ML Engineer openings at Roblox can be filtered by sponsorship type using Migrate Mate, so you're only spending time on roles where your authorization is explicitly supported rather than assumed.
Prepare your PERM documentation ahead of the green card conversation
For EB-2 or EB-3 sponsorship, Roblox's legal team will need detailed records of your education credentials and prior work history. Gather degree transcripts, employment verification letters, and any credential evaluations before the green card discussion starts to avoid DOL filing delays.
Frequently Asked Questions
Does Roblox sponsor H-1B visas for AI ML Engineers?
Yes, Roblox sponsors H-1B visas for AI ML Engineers and has a consistent history of doing so. The H-1B requires an employer-filed petition through USCIS and is subject to the annual cap and lottery for most candidates. If you're on F-1 OPT, Roblox would typically file your H-1B visa petition in April for an October 1 start date, so your OPT timing needs to align with that window.
Which visa types does Roblox commonly sponsor for AI ML Engineers?
Roblox sponsors several visa categories for AI ML Engineers, including H-1B, H-1B1 visa for Chilean and Singaporean nationals, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, and F-1 OPT. For longer-term paths, Roblox also supports EB-2 and EB-3 Green Card sponsorship. The right category depends on your nationality, degree, and where you are in the immigration process.
How do I apply for AI ML Engineer jobs at Roblox?
You can browse open AI ML Engineer roles at Roblox directly through their careers site or through Migrate Mate, which filters roles by visa sponsorship type so you can confirm your category is supported before applying. Roblox's hiring process for this function typically includes a recruiter screen, multiple technical rounds covering ML system design and coding, and a cross-functional interview.
What qualifications does Roblox expect for AI ML Engineer roles?
Roblox generally expects a bachelor's or master's degree in computer science, machine learning, statistics, or a closely related field for AI ML Engineer positions. Practical experience with large-scale model training, inference pipelines, or real-time ML systems carries significant weight. Familiarity with Roblox's product context, such as recommendation systems or generative AI for user content, tends to strengthen applications for their specific team needs.
How do I plan my timeline if Roblox sponsors my H-1B petition?
USCIS opens H-1B registration in March, with cap-subject petitions filed by April 1 for an October 1 start. If you're on F-1 OPT and your authorization expires before October, the 60-day grace period between jobs does not extend OPT. You'll want to secure your offer and confirm Roblox's petition filing schedule well before your OPT end date. Premium processing through USCIS can reduce approval wait times to around 15 business days if timing is tight.