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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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.
As a Distinguished Machine Learning Engineer/Technical Director in the Safety organization at Roblox, you will drive the overall technical vision and execution for all machine learning initiatives focused on maintaining the safety and civility of our users. Our industry-leading safety features ensure Roblox remains a safe and inclusive environment for our community to express themselves creatively and share experiences without fear. The Safety org is the reason why Roblox is the safest place on the internet, protecting users. You will provide technical leadership on AI/ML efforts for Trust and Safety as the Roblox platform scales to serve different age groups and geographic locations.
ROLE AND RESPONSIBILITIES
You Will
- Own the technical direction and implementation of machine learning solutions for safety-related systems
- Lead and mentor other engineers, fostering a culture of technical excellence and inclusivity
- Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement
- Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness
- Facilitate challenging technical decisions across multiple teams, demonstrating empathy and finding common understanding
- Collaborate with cross-functional teams to define and prioritize the machine learning roadmap
BASIC QUALIFICATIONS
You Have
- 10+ years of experience delivering and improving large-scale machine learning systems
- Proven expertise in creating and launching machine learning models from scratch
- Ability to handle data problems, train models with large datasets, and ensure system reliability at scale
- Experience with distributed systems, data architecture, and model extraction
- Strong programming skills and willingness to be hands-on as necessary
- Prior experience in a leadership role with a technical focus, including mentoring engineering teams
PREFERRED QUALIFICATIONS
You Are
- A creative and strategic problem-solver, able to simplify complex issues while integrating fresh ideas
- Committed to fostering a diverse and inclusive workplace where everyone feels valued and supported
- Passionate about maintaining deep technical expertise while meeting end-user needs
- Knowledgeable about cutting-edge ML technologies, including LLMs
- Experienced in NLP or computer vision (preferred)
- Familiar with maintaining and evolving safety systems at scale (preferred)
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: $399,420—$457,970 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.
As a Distinguished Machine Learning Engineer/Technical Director in the Safety organization at Roblox, you will drive the overall technical vision and execution for all machine learning initiatives focused on maintaining the safety and civility of our users. Our industry-leading safety features ensure Roblox remains a safe and inclusive environment for our community to express themselves creatively and share experiences without fear. The Safety org is the reason why Roblox is the safest place on the internet, protecting users. You will provide technical leadership on AI/ML efforts for Trust and Safety as the Roblox platform scales to serve different age groups and geographic locations.
ROLE AND RESPONSIBILITIES
You Will
- Own the technical direction and implementation of machine learning solutions for safety-related systems
- Lead and mentor other engineers, fostering a culture of technical excellence and inclusivity
- Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement
- Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness
- Facilitate challenging technical decisions across multiple teams, demonstrating empathy and finding common understanding
- Collaborate with cross-functional teams to define and prioritize the machine learning roadmap
BASIC QUALIFICATIONS
You Have
- 10+ years of experience delivering and improving large-scale machine learning systems
- Proven expertise in creating and launching machine learning models from scratch
- Ability to handle data problems, train models with large datasets, and ensure system reliability at scale
- Experience with distributed systems, data architecture, and model extraction
- Strong programming skills and willingness to be hands-on as necessary
- Prior experience in a leadership role with a technical focus, including mentoring engineering teams
PREFERRED QUALIFICATIONS
You Are
- A creative and strategic problem-solver, able to simplify complex issues while integrating fresh ideas
- Committed to fostering a diverse and inclusive workplace where everyone feels valued and supported
- Passionate about maintaining deep technical expertise while meeting end-user needs
- Knowledgeable about cutting-edge ML technologies, including LLMs
- Experienced in NLP or computer vision (preferred)
- Familiar with maintaining and evolving safety systems at scale (preferred)
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: $399,420—$457,970 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 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.