Apollo Research is an AI safety organization specializing in auditing high-risk failure modes, particularly deceptive alignment, in large AI models. We conduct fundamental research on interpretability and behavioral model evaluations to minimize catastrophic risks associated with advanced AI systems. Our distinctive approach combines examining model internals with behavioral evaluations to provide stronger safety assurances.
Open Positions
Research Scientist/Engineer (Science of Scheming)
Fast-paced research, software engineering, AI progress, experience with RL-training LLMs, and strong analytical skills
Research Scientist/Engineer (Evaluations)
Strong software engineering experience, AI power-user, and strong communication skills
Legal & Compliance Manager
At least 4 PQE, qualified to practice law in at least one common-law jurisdiction, strong experience drafting and reviewing commercial contracts
Backend Engineer (Monitoring)
4+ years of experience building production backend systems, strong Python proficiency, and solid understanding of database design and optimization
Full Stack Engineer (Monitoring)
3+ years experience as a Full Stack Engineer, strong proficiency in front-end development, and experience designing RESTful APIs
Backend Software Engineer
5+ years of professional software engineering experience, experience writing production-quality python code, and ability to collaborate with researchers
US/NatSec Specialist
Minimum 6 years of experience, 3 years in U.S. intelligence community, previous security clearance, and strong communication skills required
Expression of Interest
Seeking Evals Research Engineers/Scientists, Research Leads, Full-stack Software Engineers, Operations roles, and Governance experts. Open to diverse backgrounds and roles outside listed positions
Full-stack Software Engineer
5+ years of experience in software engineering, experience writing production-quality Python and React code, and a successful track record of leading software development
Applied Researcher (Monitoring)
2+ years of experience conducting empirical research with large language models or AI systems, strong experience with AI coding agents, experience with LLM-as-a-judge setups, strong Python programming skills, demonstrated ability to work independently on open-ended research problems
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