Trust & Safety Engineer — Kids AI Moderation

Spin Master International B.V.; Toronto; Hybrid; CAD 137,000 - 182,000; Full time

Benefits offered by this job

Growth opportunities

Flexible hours

Benefits

Team collaboration

Job summary

Spin Master Inc. is seeking a Trust & Safety Engineer to own the end-to-end moderation pipeline for a first-of-its-kind AI-enabled child-focused product.

You will build and refine safety evals, classifiers and tooling, collaborating with ML and Backend teams to ensure robust protection while preserving creativity. You will apply safety engineering on real user-facing features, tuning thresholds and running red-team tests.

Qualifications

• Applied safety engineering experience on a product with real users.
• Built evals or classifiers for harmful content, not just configured a vendor API.
• Strong software engineering skills in Python: ship production code in the moderation path.
• Comfort with precision/recall tradeoffs and setting thresholds.
• Good judgment under pressure.

Responsibilities

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

Skills

Safety engineering

Evals/classifiers

Python

Precision/recall

Judgment under pressure

Tools

Python tooling

Job description

Spin Master Inc. is seeking a Trust & Safety Engineer to own the end-to-end moderation pipeline for a first-of-its-kind AI-enabled child-focused product.

You will build and refine safety evals, classifiers and tooling, collaborating with ML and Backend teams to ensure robust protection while preserving creativity. You will apply safety engineering on real user-facing features, tuning thresholds and running red-team tests.