Green Card AI ML Platform Jobs
AI ML Platform roles qualify for EB-2 sponsorship when the position requires an advanced degree in machine learning, computer science, or a related field, and for EB-3 when a bachelor's degree meets the specialty occupation standard. Your employer files a PERM labor certification with the DOL before the I-140 petition, permanently tying your green card path to the role.
Find Green Card AI ML Platform JobsOverview
Showing 5 of 809+ AI ML Platform jobs
See all 809+ AI ML Platform Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Platform roles.
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 809+ Green Card AI ML Platform Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card AI ML Platform Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship in AI ML Platform
Document your ML specialization for PERM
PERM requires your employer to prove the job genuinely requires your specific credentials. Gather transcripts, published research, and project documentation that link your advanced degree or specialized training directly to the AI ML Platform role's stated requirements.
Target employers with active I-140 filing history
Companies that have filed I-140 petitions for ML engineers in the past are already familiar with PERM requirements for technical roles. Prioritize these employers early, since their HR and legal teams won't need to be educated on the process from scratch.
Verify your SOC code before the offer stage
AI ML Platform roles typically fall under SOC 15-2051 or 15-1212. The SOC code your employer selects drives the prevailing wage determination from the OFLC Wage Search, so confirm it matches your actual duties before the job order is posted.
Negotiate the PERM timeline into your offer
PERM labor certification can take 12 to 18 months before the I-140 is even filed. Ask during offer negotiations whether the employer will start PERM immediately or delay, since that decision directly affects when your priority date is established.
Use Migrate Mate to filter for green card sponsoring roles
Search Migrate Mate to find AI ML Platform positions at employers with confirmed EB-2 and EB-3 sponsorship history, so you're applying to companies already set up to run PERM rather than ones that have never filed before.
Cross-check your O*NET profile against your job description
USCIS scrutinizes whether your duties match the specialty occupation definition. Pull the O*NET profile for your role's SOC code and confirm your offer letter's responsibilities align, since mismatches between the two are a common source of RFEs on I-140 petitions.
Green Card AI ML Platform: Frequently Asked Questions
Do AI ML Platform roles qualify for EB-2 or EB-3 green card sponsorship?
Most AI ML Platform positions qualify for EB-2 because they require an advanced degree in machine learning, computer science, statistics, or a closely related field. If the role requires only a bachelor's degree, it can qualify under EB-3 as a professional position. The classification affects your priority date queue but not your eligibility for PERM labor certification, which is required under both categories.
How does green card sponsorship for this role differ from H-1B sponsorship?
Green card sponsorship through PERM is a permanent immigration pathway, not a temporary status renewal. There is no annual lottery at the EB-3 level, and your employer files a labor certification with the DOL rather than competing for a cap slot. The process takes longer, often two to four years from PERM filing to an approved I-485, but the outcome is lawful permanent residency rather than a visa tied to your employer's continued sponsorship.
What does the PERM labor certification process look like for AI ML Platform positions?
Your employer must conduct a supervised recruitment campaign to demonstrate no qualified U.S. worker is available for the role. For AI ML Platform jobs, the DOL will assign a prevailing wage based on your SOC code and work location. The employer posts the position, collects and reviews applications, documents the results, and files ETA Form 9089. Only after DOL certifies that form does your employer file the I-140 petition with USCIS.
How do I find employers that will actually sponsor a green card for an AI ML Platform role?
Search Migrate Mate to identify companies with a documented history of EB-2 and EB-3 sponsorship for ML and platform engineering roles. Many employers in this space have sponsored before but don't advertise it in job postings. Filtering by sponsorship history means you start conversations with teams whose legal and HR processes are already built for PERM rather than negotiating from zero.
Can my employer start PERM while I'm on H-1B status, and what happens if my H-1B expires during the process?
Yes, your employer can file PERM while you're in valid H-1B visa status, and this is the standard path for most sponsored professionals in ML roles. If your H-1B expires before your green card is approved, you can extend it in three-year increments under AC21 portability rules once your I-140 is approved and your priority date is within one year of becoming current.