AI ML Platform Jobs in USA with Visa Sponsorship
AI/ML Platform engineers are among the most actively sponsored roles in the U.S. tech industry. Employers regularly file H-1B visa and O-1 visa petitions for this specialty, and the work squarely qualifies as a specialty occupation under USCIS standards. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsAre you a kid at heart looking to build a career with a leading global children's toy, entertainment and digital gaming company?
At Spin Master, our unwavering commitment to open mindedness, integrity and innovation is a great part of what has made us an industry leader. How do we stay ahead of the pack? By hiring the best and brightest minds—and that’s why we want you!
Job Description
Hapiko and the Stickerbox Story
Hapiko, a new part of the Spin Master family, is the creator of Stickerbox, an AI sticker printer for kids. A child holds a button, says "a unicorn riding a slice of pizza through space," and seconds later, a physical sticker prints out. This is powered by a proprietary generation pipeline that turns a child's idea into safe, fun, printed art in just a few seconds.
What will you work on?
You aren’t just one of a dozen ML engineers lost in a Big Tech department. You will own the architecture and performance of the machine learning pipeline that powers Stickerbox, scaling this technology to support a global product launch. This role is designed for a builder who wants to learn exactly how to launch and scale a physical AI product for kids from the ground up. You will make the foundational architectural decisions and translate product requirements into reality.
This is a hybrid role, 3 days per week out of our Long Island City office.
How will you create impact?
- Own end-to-end latency from a kid's voiced input to a physical printed sticker, and the profiling to eliminate every bottleneck
- Design and manage model deployment, versioning, and rollback strategies for a fleet of consumer hardware devices
- Optimize batching, caching, and GPU utilization across image generation, speech recognition, and character models to keep the experience fast and affordable
- Conduct build-vs-buy analysis for hosting and inference architecture and lead any resulting migrations
- Design and maintain serving-side enforcement of product safety, kid-safe compliance, and automated character-fidelity checks
- Manage the queues, autoscaling, observability, and release engineering that supports the ML generation path
What are your skills and experience?
- Experience deploying and operating diffusion or similar generative ML models in production with real latency constraints
- Experience profiling a generation path to optimize for performance and cost
- End-to-end production ownership experience, including deployment, capacity planning, observability, and on-call support
- Advanced knowledge of ML infrastructure, inference systems, and production software architecture
- Experience translating product requirements into scalable technical solutions and roadmaps
- Experience with consumer hardware, on-device/edge inference, ASR, or child-directed digital products is a strong plus
LI-Hybrid #LI-HM1
The anticipated pay range for candidates who will work in New York City is $166,100 to $221,400 Per Annum. The offered pay to a successful candidate will be dependent on several factors that may include but are not limited to years of experience within the job, years of experience within the required industry, education, etc. Spin Master Inc. is a multi-state employer, and this salary range may not reflect positions that work only in other states.
This job posting is tied to an open vacancy.
What you can expect from us:
Our mission is to Make Life More Fun with a vision to push the boundaries of innovation, creativity, and fun.
- Growth and Career Opportunities
- Flexible Work Hours
- Innovation, Collaboration and Fun
- Comprehensive Benefits
- Other fun Perks!
What’s it like to work here?
Spin Master is a fast-paced, hands-on organization that provides many great opportunities for impactful decision-making; though our challenging start-up atmosphere isn’t for everyone, we have a proven record of opportunities for future advancement and internal transfers for our passionate and results driven team.
Everyone is welcome in our sandbox and we are committed to an accessible and inclusive hiring process that provides reasonable accommodation to all applicants.
Spin Master strives to create an accessible and inclusive application and selection process and is committed to working with and providing reasonable accommodation to job applicants who may require provisions to participate in the recruitment, selection and/or assessment processes. Should you require an accommodation, please contact our Talent Acquisition team, by email at TAinquiries@spinmaster.com or by phone at 416 364-6002 and we will work with you to meet your accessibility needs.
Follow us on Instagram and Twitter @SpinMaster to stay up to date on Spin Master career opportunities.
We do appreciate all interest; however only those selected for interview will be contacted.
Are you a kid at heart looking to build a career with a leading global children's toy, entertainment and digital gaming company?
At Spin Master, our unwavering commitment to open mindedness, integrity and innovation is a great part of what has made us an industry leader. How do we stay ahead of the pack? By hiring the best and brightest minds—and that’s why we want you!
Job Description
Hapiko and the Stickerbox Story
Hapiko, a new part of the Spin Master family, is the creator of Stickerbox, an AI sticker printer for kids. A child holds a button, says "a unicorn riding a slice of pizza through space," and seconds later, a physical sticker prints out. This is powered by a proprietary generation pipeline that turns a child's idea into safe, fun, printed art in just a few seconds.
What will you work on?
You aren’t just one of a dozen ML engineers lost in a Big Tech department. You will own the architecture and performance of the machine learning pipeline that powers Stickerbox, scaling this technology to support a global product launch. This role is designed for a builder who wants to learn exactly how to launch and scale a physical AI product for kids from the ground up. You will make the foundational architectural decisions and translate product requirements into reality.
This is a hybrid role, 3 days per week out of our Long Island City office.
How will you create impact?
- Own end-to-end latency from a kid's voiced input to a physical printed sticker, and the profiling to eliminate every bottleneck
- Design and manage model deployment, versioning, and rollback strategies for a fleet of consumer hardware devices
- Optimize batching, caching, and GPU utilization across image generation, speech recognition, and character models to keep the experience fast and affordable
- Conduct build-vs-buy analysis for hosting and inference architecture and lead any resulting migrations
- Design and maintain serving-side enforcement of product safety, kid-safe compliance, and automated character-fidelity checks
- Manage the queues, autoscaling, observability, and release engineering that supports the ML generation path
What are your skills and experience?
- Experience deploying and operating diffusion or similar generative ML models in production with real latency constraints
- Experience profiling a generation path to optimize for performance and cost
- End-to-end production ownership experience, including deployment, capacity planning, observability, and on-call support
- Advanced knowledge of ML infrastructure, inference systems, and production software architecture
- Experience translating product requirements into scalable technical solutions and roadmaps
- Experience with consumer hardware, on-device/edge inference, ASR, or child-directed digital products is a strong plus
LI-Hybrid #LI-HM1
The anticipated pay range for candidates who will work in New York City is $166,100 to $221,400 Per Annum. The offered pay to a successful candidate will be dependent on several factors that may include but are not limited to years of experience within the job, years of experience within the required industry, education, etc. Spin Master Inc. is a multi-state employer, and this salary range may not reflect positions that work only in other states.
This job posting is tied to an open vacancy.
What you can expect from us:
Our mission is to Make Life More Fun with a vision to push the boundaries of innovation, creativity, and fun.
- Growth and Career Opportunities
- Flexible Work Hours
- Innovation, Collaboration and Fun
- Comprehensive Benefits
- Other fun Perks!
What’s it like to work here?
Spin Master is a fast-paced, hands-on organization that provides many great opportunities for impactful decision-making; though our challenging start-up atmosphere isn’t for everyone, we have a proven record of opportunities for future advancement and internal transfers for our passionate and results driven team.
Everyone is welcome in our sandbox and we are committed to an accessible and inclusive hiring process that provides reasonable accommodation to all applicants.
Spin Master strives to create an accessible and inclusive application and selection process and is committed to working with and providing reasonable accommodation to job applicants who may require provisions to participate in the recruitment, selection and/or assessment processes. Should you require an accommodation, please contact our Talent Acquisition team, by email at TAinquiries@spinmaster.com or by phone at 416 364-6002 and we will work with you to meet your accessibility needs.
Follow us on Instagram and Twitter @SpinMaster to stay up to date on Spin Master career opportunities.
We do appreciate all interest; however only those selected for interview will be contacted.
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Get Access To All JobsTips for Finding AI ML Platform Jobs
Frame your role as infrastructure, not research
AI/ML Platform is distinct from applied ML, you build the systems others train on. Emphasize distributed systems, MLOps pipelines, and compute orchestration in your resume. Visa officers and employers respond to infrastructure framing over vague 'AI' titles.
Target companies with established ML infrastructure teams
Large-scale tech firms and AI-native companies already have USCIS-approved H-1B specialty occupation classifications for platform engineering roles. Applying to companies with prior approval history significantly reduces petition risk and employer hesitation around sponsorship.
Clarify your degree field on every application
USCIS requires a degree in a directly related field, computer science, computer engineering, and electrical engineering qualify cleanly. If your degree is adjacent, document coursework in systems design or distributed computing to strengthen the specialty occupation argument.
Highlight specific platform technologies in your materials
Kubernetes, Ray, Kubeflow, Spark, and Triton inference server are concrete signals that distinguish platform engineers from generalist ML practitioners. Specificity in tooling helps employers justify the specialty occupation requirement to USCIS when petitioning.
Understand your OPT and cap-gap timeline before applying
If you're on F-1 OPT, H-1B cap season runs January through April for October start dates. Platform roles at cap-exempt universities or research labs allow year-round filing, worth targeting if your OPT timeline doesn't align with the annual lottery.
Document production-scale impact, not just model performance
Sponsoring employers need to justify a specialty occupation petition. Resume bullet points quantifying platform throughput, uptime improvements, or training cost reductions give immigration counsel concrete evidence that the role requires specialized technical expertise.
Frequently Asked Questions
Does an AI/ML Platform engineer role qualify as a specialty occupation for H-1B purposes?
Yes. AI/ML Platform engineering requires at least a bachelor's degree in computer science, computer engineering, or a closely related field, meeting USCIS's specialty occupation definition. The role involves designing distributed training infrastructure, ML pipelines, and serving systems that require theoretical and applied depth. Generalist or non-technical degrees are unlikely to satisfy the field-of-study requirement without substantial supporting documentation.
Which visa types are most common for AI/ML Platform engineers?
H-1B visa is the most common path, though it requires winning the annual lottery. O-1A is a realistic alternative for engineers with strong publication records, open-source contributions, or documented industry recognition. Australians can pursue the E-3 visa, which has no lottery and far lower competition. Canadians and Mexicans may qualify under the TN visa's computer systems analyst category. Browse open roles on Migrate Mate filtered by visa type to identify which employers are actively sponsoring.
Do employers actually sponsor H-1B visas for platform engineering roles?
Yes, and frequently. Companies like Google, Meta, Amazon, Microsoft, and AI-native firms such as Databricks and Anyscale have substantial H-1B filing histories for ML infrastructure and platform roles. DOL disclosure data confirms platform engineering titles appear consistently across LCA filings. The key filter is employer size and existing immigration infrastructure; smaller startups may be willing but slower to initiate the process.
What degree do I need to get sponsored for an AI/ML Platform role?
A bachelor's degree or higher in computer science, computer engineering, electrical engineering, or a directly related technical field is the standard requirement. Degrees in mathematics or physics may qualify with strong systems-focused coursework. If your degree is in a less directly related field, three years of relevant professional experience can substitute for one year of education under USCIS equivalency standards, though this requires detailed documentation and an immigration attorney's support.
How competitive is the H-1B lottery for AI/ML Platform engineers?
In FY 2025, USCIS received approximately 442,000 registrations for 85,000 available slots, resulting in a selection rate around 25%. Engineers with a U.S. master's degree or higher enter a separate pool first, improving odds modestly. If you don't get selected, cap-exempt employers, universities, nonprofit research labs, and certain government entities, can file outside the lottery. TN visa, E-3, and O-1 visas bypass the cap entirely and are worth evaluating if lottery odds are a concern.
What is the prevailing wage requirement for sponsored AI ML Platform jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.