Safety Researcher
You will study safety failures and develop evaluations and mitigations for known and emerging risks.
About the role
The work includes research direction, experiments, red-team evaluations, model analysis, practical mitigations, and collaboration with product, policy, legal, and operations partners.
What you'll do
- Develop research questions and experiments for important model safety risks.
- Design evaluations that test the effectiveness and robustness of safety measures.
- Analyze failure patterns and translate useful findings into practical mitigations.
- Communicate results and open questions to research, product, legal, policy, and trust and safety partners.
What we're looking for
- Research or research-engineering experience in machine learning safety or a closely related field.
- Strong Python skills and experience developing machine learning experiments.
- Experience with red-team evaluation, adversarial robustness, or misuse detection.
- The ability to set a research direction and explain evidence clearly.
Preferred experience
- Experience moving safety research into production evaluation or mitigation work.
Equal opportunity
Entlegnant, the company behind Leiolai, is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, veteran status, genetic information, or any other status protected by law.
Applicants must be at least 18. If you need an accommodation during the application process, email talent@leiolai.com.
Apply
Submit your resume and a few details below. A cover letter is optional.