Machine Learning Jobs at Roblox with Visa Sponsorship
Machine Learning jobs at Roblox leverage core platform capabilities, from recommendation systems to safety infrastructure and physics simulation. The company sponsors a range of work visas for ML talent, making it a realistic target for international candidates with strong research or applied engineering backgrounds.
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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.
ROLE AND RESPONSIBILITIES
As a Senior Software Engineer on the Foundation AI organization, you will sit at the epicenter of our foundation model efforts. While the research world is focused on architecture, you will be the architect of the data flywheel that makes VideoGen and 3DGen possible. You aren't just building pipelines; you are building the infrastructure that defines how our models perceive and generate virtual worlds in three dimensions and across time.
In this role, you will partner directly with our AI researchers to advance beyond experimental datasets and into the realm of dynamic, high-fidelity data synthesis and evaluation. You will bridge the gap between research prototypes working locally to scaling for millions of users. You will design, implement, and scale robust, high-performance infrastructure to crawl, create, curate, store, and serve the massive datasets required for these models. We are seeking accomplished software engineers with a passion for data, experience building large distributed systems, and a commitment to writing high-quality, well-tested code to solve complex data challenges at scale. Your contributions will ensure that our foundation models receive the highest quality data, thereby supporting the next generation of creative AI.
You will:
-
High-Scale Data Orchestration: Architect and maintain automated pipelines for the ingestion, cleaning, and pre-processing of multi-modal datasets (video, 3D,) spanning petabytes of data
-
Synthetic Data Generation: Leverage image and video generation models to scale multi-modal synthetic datasets
-
Research-to-Production Bridge: Partner with research teams to create training data for research experiments – research and implement synthetic data creation pipelines
-
Scalable Evaluation Frameworks: Build and own evaluation—automating both heuristic-based metrics and human-in-the-loop interfaces to evaluate and benchmark training datasets and in-house foundation models
-
Model Deployment & API Architecture: Design and optimize high-throughput, low-latency Inference APIs for internal and external consumer access
-
Autonomous SOTA Tracking: Actively participate in literature reviews and paper reading groups to identify and implement the latest optimizations in generative modeling
-
Resource Efficiency & Observability: Implement monitoring pipeline health, optimizing data loading to ensure GPUs are used efficiently
BASIC QUALIFICATIONS
-
8+ years of experience as a research-focused data systems engineer (preferably working with 3D and video foundation models)
-
Expertise in building scalable ML data pipelines for both batch and real-time environments. Experience working with and processing very large datasets (Petabytes or more).
-
Versatile: You're a generalist and you are comfortable with several languages and technologies already; you are adaptable in any situation
-
Team-Player & Technical Leader: You are a collaborative team member who actively mentors peers, drives technical excellence, and takes ownership of leading and delivering key features and projects across team boundaries
-
Python Proficiency: You can write high-quality Python code for automation, tooling, and infrastructure management
-
Experience with cloud data platforms and distributed processing technologies (e.g., Spark, Ray, Kubeflow, S3, etc.).
-
Are passionate about the potential of generative AI, particularly in creative domains like 3D/4D content.
-
A Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or a similar technical field
PREFERRED QUALIFICATIONS
-
MLOps Experience: Knowledge of experiment tracking (Weights & Biases, MLflow) and versioning for massive datasets.
-
Custom Tooling Development: Experience building internal "human-in-the-loop" tools for data labeling specific to video or 3D.
-
C++ Knowledge: Optimize the performance of data loaders and being comfortable modifying engine code.
-
Game development and digital content creation tools: Experience with making Roblox games, using Blender, Unreal Engine, or Unity.
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: $243,290—$295,250 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.
ROLE AND RESPONSIBILITIES
As a Senior Software Engineer on the Foundation AI organization, you will sit at the epicenter of our foundation model efforts. While the research world is focused on architecture, you will be the architect of the data flywheel that makes VideoGen and 3DGen possible. You aren't just building pipelines; you are building the infrastructure that defines how our models perceive and generate virtual worlds in three dimensions and across time.
In this role, you will partner directly with our AI researchers to advance beyond experimental datasets and into the realm of dynamic, high-fidelity data synthesis and evaluation. You will bridge the gap between research prototypes working locally to scaling for millions of users. You will design, implement, and scale robust, high-performance infrastructure to crawl, create, curate, store, and serve the massive datasets required for these models. We are seeking accomplished software engineers with a passion for data, experience building large distributed systems, and a commitment to writing high-quality, well-tested code to solve complex data challenges at scale. Your contributions will ensure that our foundation models receive the highest quality data, thereby supporting the next generation of creative AI.
You will:
-
High-Scale Data Orchestration: Architect and maintain automated pipelines for the ingestion, cleaning, and pre-processing of multi-modal datasets (video, 3D,) spanning petabytes of data
-
Synthetic Data Generation: Leverage image and video generation models to scale multi-modal synthetic datasets
-
Research-to-Production Bridge: Partner with research teams to create training data for research experiments – research and implement synthetic data creation pipelines
-
Scalable Evaluation Frameworks: Build and own evaluation—automating both heuristic-based metrics and human-in-the-loop interfaces to evaluate and benchmark training datasets and in-house foundation models
-
Model Deployment & API Architecture: Design and optimize high-throughput, low-latency Inference APIs for internal and external consumer access
-
Autonomous SOTA Tracking: Actively participate in literature reviews and paper reading groups to identify and implement the latest optimizations in generative modeling
-
Resource Efficiency & Observability: Implement monitoring pipeline health, optimizing data loading to ensure GPUs are used efficiently
BASIC QUALIFICATIONS
-
8+ years of experience as a research-focused data systems engineer (preferably working with 3D and video foundation models)
-
Expertise in building scalable ML data pipelines for both batch and real-time environments. Experience working with and processing very large datasets (Petabytes or more).
-
Versatile: You're a generalist and you are comfortable with several languages and technologies already; you are adaptable in any situation
-
Team-Player & Technical Leader: You are a collaborative team member who actively mentors peers, drives technical excellence, and takes ownership of leading and delivering key features and projects across team boundaries
-
Python Proficiency: You can write high-quality Python code for automation, tooling, and infrastructure management
-
Experience with cloud data platforms and distributed processing technologies (e.g., Spark, Ray, Kubeflow, S3, etc.).
-
Are passionate about the potential of generative AI, particularly in creative domains like 3D/4D content.
-
A Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or a similar technical field
PREFERRED QUALIFICATIONS
-
MLOps Experience: Knowledge of experiment tracking (Weights & Biases, MLflow) and versioning for massive datasets.
-
Custom Tooling Development: Experience building internal "human-in-the-loop" tools for data labeling specific to video or 3D.
-
C++ Knowledge: Optimize the performance of data loaders and being comfortable modifying engine code.
-
Game development and digital content creation tools: Experience with making Roblox games, using Blender, Unreal Engine, or Unity.
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: $243,290—$295,250 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 Machine Learning Jobs at Roblox
Align your portfolio to Roblox's ML domains
Roblox's ML work spans content recommendation, user safety, and generative simulation. Tailor your GitHub projects or research papers to at least one of these areas before applying, so your background reads as directly relevant to their open roles.
Confirm specialty occupation framing early
H-1B petitions for ML roles require USCIS to approve the position as a specialty occupation. Ensure your offer letter and employer's petition documentation explicitly ties your degree field to the specific ML function, not just a general software engineering title.
Target roles that bypass the H-1B lottery
If you hold an Australian or Singapore citizenship, E-3 and H-1B1 visas skip the annual H-1B lottery entirely. Roblox sponsors both, so flag your nationality early in recruiter conversations to open faster-moving visa tracks.
Prepare OPT STEM extension documentation proactively
F-1 OPT holders in ML can access a 24-month STEM extension if the degree field qualifies. Confirm your degree's CIP code maps to an eligible STEM classification with your DSO before your initial OPT expires, so you don't create a gap during the H-1B petition cycle.
Time your application around the H-1B registration window
USCIS opens H-1B registration each March. If you're interviewing at Roblox in late winter, push to complete your loop and receive an offer before registration closes, so your employer can file in the same cycle rather than waiting a full year.
Use Migrate Mate to track Roblox ML openings
ML roles at Roblox don't always carry explicit sponsorship language in the posting. Use Migrate Mate to filter verified sponsoring employers and surface active Machine Learning positions at Roblox before they close.
Frequently Asked Questions
Does Roblox sponsor H-1B visas for Machine Learnings?
Yes, Roblox sponsors H-1B visas for Machine Learning roles. The company has a consistent track record of filing H-1B petitions across technical functions, including ML engineering and research positions. If you're subject to the annual lottery, your employer submits a registration each March. Roblox also sponsors E-3 visa and H-1B1 visas, which skip the lottery for eligible Australian and Singapore citizens respectively.
How do I apply for Machine Learning jobs at Roblox?
Apply directly through Roblox's careers portal, which lists open ML roles by team and seniority. Before applying, review the job description carefully to identify which ML domain the team focuses on, such as ranking systems, trust and safety, or simulation. Tailoring your application materials to the specific technical scope of the role improves your chances of clearing the initial screen. Migrate Mate also aggregates Roblox ML openings in one place if you want a filtered view.
Which visa types does Roblox sponsor for Machine Learning roles?
Roblox sponsors H-1B, E-3, H-1B1 visa, and TN visas for technical roles, along with F-1 OPT and STEM OPT extensions for recent graduates. For longer-term permanent residency, Roblox supports EB-2 and EB-3 Green Card pathways. The right visa depends on your citizenship: Australians qualify for E-3, Singaporeans for H-1B1 visa, Canadians and Mexicans for TN visa, and most other nationalities typically pursue H-1B.
What qualifications does Roblox expect for Machine Learning roles?
Most ML positions at Roblox require a bachelor's degree at minimum in computer science, statistics, or a closely related field, with graduate degrees preferred for research-oriented roles. Practically, Roblox's ML teams look for hands-on experience with large-scale recommendation systems, deep learning frameworks, or reinforcement learning. A strong publication record or demonstrable work on production ML systems carries significant weight, particularly for senior and staff-level openings.
How do I navigate the visa filing timeline after receiving an offer from Roblox?
After signing an offer, Roblox's immigration team typically engages an outside counsel to file the petition. For H-1B, the process begins with a Labor Condition Application certified by the DOL, which must be completed before USCIS receives the I-129 petition. If you're on F-1 OPT, you can begin work while the petition is pending under cap-gap protection. Build in several weeks between your offer acceptance and intended start date to allow for LCA certification and USCIS processing.