Full-time jobs in Canada

Explore full-time jobs across Canada. Choose a location and read the full job details.

199,907 listings · 22,297 employers Counted Oct 8, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (4,965 listings), Loblaw Companies Limited (1,897 listings), Starbucks Coffee Company (1,795 listings).

Common roles: Project manager, Sales representative, Store manager.

24,111 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / year	80,884.74	12,772
CAD / hour	23.50	8,648
USD / year	96,620.00	1,058
USD / hour	20.00	408
CAD / month	4,931.00	246
CAD / week	1,445.00	31
GBP / hour	35.00	15
USD / month	5,000.00	15
CAD / day	402.50	14
GBP / year	40,000.00	14

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 2% remote, 18% hybrid, 80% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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Spin Master Ltd

ML Engineer, Character Models [Diffusions] - Hapiko

Toronto, ON, M5V 3M2, Canada

The anticipated pay range for candidates who will work in Ontario is $136,700 to $182,300 Per Annum. · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: The anticipated pay range for candidates who will work in Ontario is $136,700 to $182,300 Per Annum.
Job type: Full-time
Posting language: English
Posted: Oct 7, 2026

Original job description

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.

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#xa; • Flexible Work Hours#xa; • Innovation, Collaboration and Fun#xa; • Comprehensive Benefits#xa; • Other fun Perks!#xa;

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.

Apply About employer

More about this job

Responsibilities

You will train and fine-tune diffusion models and pipelines to generate character stickers for a global audience. You will also collaborate with brand teams to ensure character fidelity and partner with engineering teams to deploy models into production.

Requirements

The role requires hands-on experience fine-tuning generative image models and building robust data pipelines. Strong software engineering skills in Python and the ability to develop evaluation metrics for generative outputs are essential.

Skills

Machine learning
Diffusion models
Python
Generative image models
Data pipelines
Model fine-tuning
Evaluation harness
Software engineering
Model serving
Trust and safety

Benefits

Growth and career opportunities
Flexible work hours
Innovation, collaboration and fun
Comprehensive benefits
Other fun perks

Visa sponsorship

Not detected in the job text

Keywords

ML Engineer
Diffusion Models
Generative AI
Python
Data Pipelines
Model Training
Fine-tuning
Character Modeling
Software Engineering
Stickerbox
Machine Learning
Model Serving
Trust and Safety
Evaluation Metrics
Brand Collaboration
Digital Gaming
Toy Industry

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