Prepin
Log in
Spin Master

engineering opportunity

Senior ML Platform Engineer

You will own the architecture and performance of the machine learning pipeline for a consumer AI product, ensuring low-latency generation from input to physical output. Responsibilities include managing model deployment, optimizing GPU utilization, and maintaining system observability for a fleet of hardware devices.

New York, New York, United StateshybridFULL_TIME

Posted

About the role

What will you do at Spin Master?

Please Note: If you are a current Spin Master employee with access to Workday, apply to this job via the Workday application.

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 [email protected] 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.

Which skills does this role require?

Machine learning infrastructureInference systemsProduction software architectureDiffusion modelsGenerative MLLatency optimizationGPU utilizationModel deploymentCapacity planningObservabilityRelease engineeringASREdge inferenceConsumer hardwarePythonCloud architectureMachine LearningML PlatformGenerative AIDiffusion ModelsInferenceLatencyGPUCloud InfrastructureEdge ComputingConsumer HardwareAutoscalingRelease EngineeringProduct SafetyComplianceArchitectureProfilingBatchingCachingVersion ControlRollback StrategiesBuild-vs-buy analysisTechnical RoadmapScalabilityAccessibilityProduct Strategy

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Confirm current details on the original application page.

Product

AI Candidate AgentCompaniesBrowse JobsDeep ProfileSkill AssessmentOpportunity Matching
Prepin.ai

© 2026 Prepin | All rights reserved.