Machine Learning Engineer - Trust & Safety

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 make sure every sticker a kid prints is safe. We're a small team building a first-of-its-kind product and scaling it globally. Because it runs generative AI in children's homes, safety isn't a feature we add later. It's the core of the product. As our first dedicated Trust & Safety engineer, you'll own the systems that keep it that way as we grow.

This is an engineering role, not a policy-only role. You'll own and improve the moderation pipeline, the evals and the tooling. A big part of the job is precision: keeping protection strong while making sure kids' harmless ideas get through.

How will you create impact?

• Own and maintain content moderation end to end, from what a child says to the image that prints, including copyrighted and licensed characters.
• Maintain and grow our safety eval suites, and use them to decide when a model, prompt or threshold change is ready to ship.
• Continuously improve our classifiers, and decide where in-house models and third-party models fit best.
• Tune moderation over time to cut over-blocking without weakening protection.
• Run ongoing red teaming against our models and pipeline.
• Maintain review tooling for flagged content and parent reports.
• Own the incident response runbook for safety issues.
• Maintain the technical side of our compliance obligations, including data retention and deletion.
• Partner with our ML and Backend / Platform engineers so safety is built into new models and features before they ship.

What are your skills and experience?

• Applied safety engineering experience on a product with real users.
• You've built evals or classifiers for harmful content, not just configured a vendor API.
• Strong software engineering skills in Python: you can ship production code in the moderation path, where it has to be both fast and fail-safe.
• Comfort with precision/recall tradeoffs, and the judgment to set thresholds when both kinds of error have a cost.
• Good judgment under pressure.

#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.

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We do appreciate all interest; however only those selected for interview will be contacted.