AI ML Engineering Jobs at Roblox with Visa Sponsorship
AI ML Engineering jobs at Roblox focus on real-time platform intelligence, recommendation systems, and safety modeling at scale. The company sponsors a range of work visas for this function, making it a realistic target for international candidates with strong machine learning credentials.
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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 Engineering Jobs at Roblox
Align your portfolio to Roblox's platform challenges
Roblox's AI work centers on content moderation, personalization, and real-time systems. Frame your projects around low-latency inference or large-scale recommendation models rather than generic classification tasks to match what their hiring teams are actually evaluating.
Target roles matching your specific visa category
Roblox sponsors multiple visa types for AI ML Engineering, including H-1B, E-3, TN, and F-1 OPT. Confirm which petition type applies to your situation before applying, since the filing timeline your employer faces differs meaningfully between cap-subject and cap-exempt categories.
Start your OPT application well before your program ends
If you're transitioning from F-1 OPT, USCIS recommends filing your EAD application up to 90 days before your OPT start date. A gap between program completion and work authorization can delay your Roblox start date even after an offer is signed.
Prepare for a technical interview loop built around ML systems
Roblox interviews for AI ML Engineering roles typically include a systems design round specific to machine learning pipelines. Reviewing distributed training, model serving architecture, and feature store design puts you in a stronger position than focusing solely on coding problems.
Track open AI ML Engineering roles on Migrate Mate
Filtering by visa type and company on Migrate Mate lets you surface Roblox's active AI ML Engineering postings alongside their sponsorship history, so you can prioritize applications where your visa category is already an established pattern for the company.
Understand how your offer letter triggers PERM timing
For EB-2 or EB-3 sponsorship, the PERM labor certification process with DOL typically begins after your H-1B is approved and sometimes not until your second or third year. Ask your recruiter during the offer stage which green card pathway Roblox initiates and when.
Frequently Asked Questions
Does Roblox sponsor H-1B visas for AI ML Engineers?
Yes, Roblox sponsors H-1B visas for AI ML Engineering roles. Because the H-1B is subject to an annual cap and lottery, timing matters significantly. Roblox typically initiates the H-1B petition process through the USCIS registration window each March, so your offer and credential documentation need to be in order well before then.
Which visa types does Roblox commonly sponsor for AI ML Engineering roles?
Roblox sponsors H-1B, H-1B1 visa, E-3 visa, TN visa, and F-1 OPT for AI ML Engineering positions, along with immigrant pathways including EB-2 and EB-3. Australian citizens can pursue the E-3 visa without lottery exposure. Canadian and Mexican nationals may qualify under TN visa for certain engineering classifications. Each category has distinct filing requirements and timelines.
What qualifications and experience does Roblox expect for AI ML Engineering roles?
Roblox AI ML Engineering roles generally require a bachelor's or master's degree in computer science, machine learning, or a related field, plus hands-on experience with large-scale model training and deployment. Roles closer to the platform infrastructure side often weight experience with real-time systems, feature engineering, and distributed ML frameworks like PyTorch or TensorFlow.
How do I apply for AI ML Engineering jobs at Roblox?
You can browse and apply for Roblox's AI ML Engineering openings directly through their careers page, or use Migrate Mate to filter specifically for Roblox roles by visa type so you can match your sponsorship situation to positions where your category is actively supported. Tailor your resume to emphasize production ML experience, since Roblox screens for applied systems work over pure research.
How do I plan my timeline if Roblox sponsors my H-1B after an offer?
If you're moving from F-1 OPT to H-1B, your status bridges under cap-gap protection if your OPT expires before October 1 and your petition was filed on time. The H-1B cap year begins October 1, so offers made in fall or winter give you the most runway. Roblox's HR team typically coordinates with an immigration counsel to manage USCIS filing deadlines from your side.