AI ML Engineering Visa Sponsorship Jobs in New York
New York is one of the top U.S. states for AI/ML engineering visa sponsorship, driven by major employers across Manhattan's finance and tech corridor, Brooklyn's growing startup scene, and research institutions like NYU and Columbia. Companies including Google, IBM, Bloomberg, and JPMorgan Chase regularly file H-1B visa petitions for AI and machine learning engineering roles.
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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.
AI ML Engineering Job Roles in New York
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Search AI ML Engineering Jobs in New YorkAI ML Engineering Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in New York?
Large employers with consistent H-1B sponsorship records for AI and ML engineering roles in New York include Google, Meta, IBM, Bloomberg, JPMorgan Chase, Two Sigma, and Palantir. Financial services firms headquartered in Manhattan are particularly active sponsors given their heavy investment in machine learning for trading, risk modeling, and fraud detection. Startups in the AI space also sponsor, though less consistently than established firms.
Which visa types are most common for AI/ML engineering roles in New York?
The H-1B is the most common visa for AI and ML engineering positions in New York, as these roles consistently qualify as specialty occupations requiring a bachelor's degree or higher in computer science, data science, or a related field. Candidates with extraordinary ability may qualify for the O-1A. Canadians and Mexicans may be eligible for the TN visa under the computer systems analyst category, depending on the specific role definition.
Which cities in New York have the most AI/ML engineering sponsorship jobs?
New York City accounts for the vast majority of AI and ML engineering sponsorship activity in the state. Manhattan concentrates the most roles, particularly in finance, media, and enterprise tech. Brooklyn has a growing concentration of AI startups and applied ML teams. Outside the city, Albany and Buffalo have emerging tech presences, but sponsoring employers for AI/ML roles are far more concentrated in the New York City metro area.
How to find ai ml engineering visa sponsorship jobs in New York?
Migrate Mate lists AI and ML engineering roles in New York that are filtered specifically for visa sponsorship eligibility, saving you from sorting through positions where sponsorship is unavailable. You can search by role type and state to surface relevant openings from employers with established H-1B filing histories in New York. This is particularly useful given how competitive the New York AI hiring market is and how much employer sponsorship willingness varies across the sector.
Are there any New York-specific factors AI/ML engineers should know about visa sponsorship?
New York's high cost of living means prevailing wage requirements for H-1B petitions tend to be among the highest in the country for AI and ML roles, which can affect how employers budget for sponsorship. The state also has a strong university pipeline through NYU, Columbia, and Cornell Tech, meaning employers are accustomed to sponsoring recent graduates on OPT before transitioning them to H-1B status. Financial sector employers in New York often have dedicated immigration support teams, making the sponsorship process more structured than at smaller firms.
What is the prevailing wage for sponsored ai ml engineering jobs in New York?
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.