Research Scientist / Engineer

Apollo Research is dedicated to addressing the significant risks and opportunities presented by the rapid advancement in AI capabilities. We focus on the phenomena of deceptive alignment or scheming, where models may appear aligned but are actually misaligned and capable of evading human oversight. Our work includes building evaluations for scheming, studying the science of scheming, and developing mitigations.

The role: As a Research Scientist or Engineer at Apollo Research, you will be involved in safety evaluations, the science of scheming, and control/monitoring for frontier models. You will collaborate with leading AI labs like OpenAI, Anthropic, and Google DeepMind on pre-deployment evaluations and mitigations. Your tasks will include building evaluations for scheming-related properties, studying scheming in detail, automating the evals pipeline, and designing AI control protocols.

Job requirements: We welcome candidates without a formal background or industry experience, including self-taught individuals. Required skills include empirical research related to AI control and evaluations, excellent scientific writing and communication, comprehensive experience in Large Language Model steering, and strong software engineering skills, particularly in Python. Experience with the Inspect evals framework is a bonus.

Benefits: Apollo Research offers a salary range of 100k - 200k GBP, flexible work hours, unlimited vacation and sick leave, provided meals on workdays, paid work trips, and a yearly professional development budget of $1,000 USD.

How to apply: Interested candidates should complete the application form with their CV. A cover letter is optional. Links to relevant work samples are encouraged. The interview process includes a screening interview, a take-home test, three technical interviews, and a final interview with the CEO.

Work Visas: We can sponsor UK visas.

Equality Statement: Apollo Research is an Equal Opportunity Employer, committed to providing equal opportunities regardless of various personal attributes.