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Applied AI Engineer

SafetyKit — AI agents for risk, compliance, and safety

San Francisco Mid Posted Apr 8, 2025
Apply on SafetyKit's site Tailor your résumé to this job

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 manage our model alpha program with OpenAI, and work directly with their research and product teams to discover unknown capabilities in new models.

You’ll work directly with customers every day and have unusual influence over operations and policy-making at the world’s biggest companies.

Responsibilities

- Turn language models into useful, functional, and beautiful products.

- Scope and implement entirely novel applications of AI agents (adversarial webcrawling, weapons identification, red-teaming, ingredient extraction, etc.)

- Architect and implement workflows that power SafetyKit's risk AI agents

- Design and conduct rigorous experiments to evaluate models' relative strengths, weaknesses, and optimal use cases

- Use codegen models to move 10x faster than you did two years ago

About you

- You love language models.

- You have the patience to be rigorous.

- You act like an owner in everything you do.

- People tell you you pick things up unusually quickly.

- You love the weird little details of life in our customer’s companies.

- You care about your work and you care about moving fast. A lot.

- You know more than you need to know. You have an insatiable curiosity.

What the index says about this role

  • First seen by JobLarper — Aug 2, 2026, 6 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 193 indexed Machine Learning Engineer roles in US that do publish one, the middle half sits between $213k and $300k, median $250k — JobLarper's read of the market, not a figure from SafetyKit.
  • What Machine Learning Engineer roles ask for — across 1,109 indexed openings: ML (78%), AI/LLM (55%), Python (53%), REST/APIs (38%), Cloud (25%).
  • SafetyKit is hiring actively — 4 open roles indexed.

Derived from the 26,996 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.

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