H-1B Visa AI ML Platform Jobs
AI ML Platform roles sit squarely within H-1B visa specialty occupation territory, requiring at least a bachelor's degree in computer science, machine learning, or a closely related field. Employers filing LCAs for these positions routinely appear in DOL disclosure data, making sponsorship history verifiable before you apply.
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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.
See all 918+ H-1B Visa AI ML Platform Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship in AI ML Platform
Verify your SOC code before interviewing
AI ML Platform roles typically file under SOC 15-1244 (Software Developers) or 15-2051 (Data Scientists). Confirm which code your prospective employer used on past LCAs so your degree field aligns with the specialty occupation definition USCIS will evaluate.
Pull employer LCA history on Migrate Mate
Search AI ML Platform roles on Migrate Mate to see which companies have active DOL Labor Condition Applications for this job category. Employers with recent LCA filings have already cleared the prevailing-wage certification step, reducing your offer-to-petition timeline.
Check prevailing wage before negotiating your offer
Use the OFLC Wage Search to look up the Level I through Level IV wage for your SOC code and work location ZIP code. Your offered salary must meet or exceed the certified wage, so knowing the floor before negotiation prevents offer rescissions at the LCA stage.
Document platform engineering contributions specifically
USCIS RFEs for ML platform roles often challenge whether the position requires a specific degree rather than any bachelor's. Organize portfolio evidence around distributed training infrastructure, model serving architecture, or MLOps pipeline design, all of which map to a computer science or engineering degree field.
Target cap-exempt employers if the lottery is a risk
Universities, nonprofit research organizations, and government-affiliated entities are cap-exempt, meaning they can file H-1B petitions year-round with no lottery exposure. AI and ML platform work exists at these institutions, particularly in research computing and scientific infrastructure teams.
Request premium processing before your OPT expires
USCIS adjudicates premium processing petitions within 15 business days. If your OPT end date is within 90 days of the April 1 filing window, ask your employer to elect premium processing so you have an approval or RFE response before your authorization lapses.
H-1B Visa AI ML Platform: Frequently Asked Questions
Does an AI ML Platform role qualify as a specialty occupation for H-1B purposes?
Yes, provided the job description requires at minimum a bachelor's degree in a specific technical field such as computer science, electrical engineering, or mathematics. Roles focused on ML infrastructure, distributed training systems, or model deployment pipelines routinely satisfy this standard. If the posting says a degree is preferred rather than required, the employer should revise the job requirements before filing the LCA with DOL.
Which employers sponsor H-1B visas for AI ML Platform jobs?
Large cloud providers, enterprise software companies, financial institutions with quantitative engineering teams, and well-funded AI startups regularly file LCAs for ML platform roles. Migrate Mate surfaces employers with verified DOL Labor Condition Application history for this job category, so you can filter your search to companies that have already demonstrated sponsorship activity rather than guessing from job postings.
Can I transfer my H-1B to a new AI ML Platform employer mid-status?
Yes. Under H-1B portability, you can start working for a new employer as soon as the transfer petition is filed with USCIS, without waiting for approval, as long as your prior H-1B was approved and you've maintained valid status. The new employer must file a new I-129 and obtain a fresh LCA from DOL certified to their worksite location and the applicable prevailing wage.
How does the H-1B prevailing wage apply to remote AI ML Platform roles?
The prevailing wage is tied to the worksite location listed on the LCA, not where the company is headquartered. For fully remote roles, DOL requires the employer to list your home address as the worksite and certify the prevailing wage for that location. If you relocate mid-employment, the employer may need to file an amended LCA and petition reflecting the new worksite. Use the OFLC Wage Search to check the wage floor for your home location before accepting a remote offer.
What happens to my H-1B status if my AI ML Platform role changes significantly after approval?
Material changes to job duties, salary, or worksite that fall outside the scope of the approved petition require an amended H-1B petition before the changes take effect. Moving from an individual contributor role to a team lead position with meaningfully different duties, or shifting from one SOC occupation code to another, typically triggers an amendment filing. USCIS evaluates whether the amended role still satisfies specialty occupation requirements under the original or a new LCA.