How to Get a Job at an AI Lab

Start with the official careers page and choose a role by its actual responsibilities, not the prestige of a lab or a broad title such as “AI researcher.” Labs hire across research, engineering, product, safety, security, policy, operations and other functions. Read the full posting for scope, level, location, eligibility, required evidence and application instructions. Listings change and roles may close, so confirm the current page before applying. Build an application around proof. For a research role, that might be a paper, thesis, experiment, evaluation, or carefully documented project that shows how you framed a question and tested it. For an engineering role, show software you built, reliability decisions, tests and measurable outcomes. For nontechnical roles, connect concrete work samples to the function. Explain your individual contribution, collaborators, methods, limitations and what you learned. Avoid claiming that a benchmark result proves more than it does. Follow the employer’s rules for applications and AI assistance. Anthropic publishes candidate guidance about AI use and describes its interview format; other employers may set different requirements. Prepare to discuss your work, solve problems and explain trade-offs, not just repeat resume bullets. Ask recruiters about role expectations and selection stages when details are unclear. There is no universal degree, referral or interview recipe that guarantees admission. Use current official sources and truthful evidence tailored to the opening. Use an artifact that is close to the role’s real work: a benchmark report for evaluation work, a tested service for engineering or a clear policy analysis for governance. Explain the starting problem, constraints, your decisions and the result. Ask a trusted reviewer whether the evidence is easy to verify.