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ML Engineer, Character Models [Diffusion] - Hapiko
@ Spin Master Ltd.
Toronto, Ontario
Overview
Spin Master Ltd. is hiring a full-time ML Engineer for character models at Hapiko, its voice-activated sticker printer company. The role trains and fine-tunes diffusion models so kids' requests for characters produce on-model stickers, with a hybrid arrangement and an Ontario pay range of $136,700 to $182,300 per year.
Pay:
$136,700–$182,300 a year
Responsibilities:
- Train and fine-tune diffusion models and adapters for characters
- Extend the evaluation harness to measure character fidelity
- Build data pipelines with provenance requirements
- Work with brand teams to get characters approved
- Partner with ML Serving and Trust & Safety engineers on production
Requirements summary:
- Hands-on experience fine-tuning diffusion or generative image models
- Experience building training data pipelines with provenance requirements
- Experience building evals for generative output
- Strong software engineering in Python
- Curiosity and creativity
Tools & skills
Source and dates
Employer career site / ATS feed · workday
- Employer posting date
- 2026-10-06
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-30
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Software development |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Perks mentioned | Flexible hours |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Spin Master Ltd.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 13 |
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:
About Hapiko
Hapiko makes Stickerbox, a voice-activated sticker printer for kids. A child says whatever they can imagine, and seconds later it's a real sticker in their hand. Hapiko is a Spin Master company, which means we pair our small, senior engineering team with the reach of one of the world's largest toy companies to pioneer the future of play.
What will you work on?
You'll build and tune the models and pipelines that let kids make stickers of the characters they love. We're a small team building a first-of-its-kind product and scaling it globally, and Spin Master's portfolio of well-known characters is next. Your job is to bring them to Stickerbox: on-model, approved by brand teams, and great-looking on a small thermal printer.
This is a hands-on model role. You'll train and fine-tune models, build the data and evaluation behind them, and work closely with brand teams on what "on-model" means for each character.
How will you create impact?
- Train and fine-tune diffusion models, pipelines, and adapters for characters.
- Extend our evaluation harness to measure character fidelity alongside overall output quality.
- Make sure a kid's spoken request for a character reliably produces the right outputs
- Work with brand teams to get characters approved and shipped.
- Partner with our ML Serving engineer to get new products into production, and with our Trust & Safety engineer so they're safe for kids from day one.
What are your skills and experience?
- Hands-on experience fine-tuning diffusion or other generative image models.
- You've built training data pipelines with real provenance requirements.
- You've built evals for generative output and used them to make decisions.
- Strong software engineering in Python: your training code and pipelines are something others can run and trust.
- Curiosity and a willingness to get creative and help us pioneer the future of play.
#LI-Hybrid #LI-HM1
The anticipated pay range for candidates who will work in Ontario is $136,700 to $182,300 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.
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