Applied AI Engineer
SafetyKit — AI agents for risk, compliance, and safety
About the role
We’re inventing the future of B2B SaaS with AI agents. We’re betting on language models and we’re betting on scale. You’ll test new models the day they come out and understand their characteristics better than their developers do. You’ll…
What the index says about this role
- First seen by JobLarper — Aug 2, 2026, 76 days ago. Older postings collect hundreds of applicants — a tailored résumé matters more the longer a role has been live.
- No pay range in our index for this listing. Across 259 indexed Machine Learning Engineer roles in US that do publish one, the middle half sits between $220k and $300k, median $257k — JobLarper's read of the market, not a figure from SafetyKit.
- What Machine Learning Engineer roles ask for — across 1,199 indexed openings: ML (73%), AI/LLM (55%), Python (52%), REST/APIs (37%), Backend (21%).
- SafetyKit is hiring actively — 4 open roles indexed.
Derived from the 28,483 roles JobLarper indexes daily from official company boards — not from the job description above.
⚡ JobLarper watched this role appear on SafetyKit's official board on Apr 8, 2025. Sign up free to get alerted minutes after roles like this go live, and tailor your real résumé to the exact description — nothing invented.
More open roles at SafetyKit
- Backend Engineer (Product, Infra)San Francisco · Mid
- Senior Backend Engineer (Staff)San Francisco · Senior+
- Frontend EngineerSan Francisco · Mid
All 4 open roles at SafetyKit →
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