ML4Good Summer 2026 Bootcamps - Applications Open!
This summer, four more ML4Good bootcamps are coming to Europe! Please apply to attend if you're interested using this link.Join one of our 8-day, fully paid-for, in-person training bootcamps to build your career in AI safety, and become part of our wonderful alumni community!Our alumni meetup at EAG London 2026Our programmes support individuals from various backgrounds who want to work on reducing catastrophic and existential AI risk.Each bootcamp is a residential, full-time programme, and is divided into two tracks:Technical Track: For people with some technical background who are interested in moving into roles that require some technical AI Safety expertise.Governance & Strategy Track: For people looking to contribute to AI safety through policy, governance, strategy, operations, media, or field-building.We're really proud to say that some of our alumni have gone on to roles at leading AIS organisations including the UK AI Safety Institute, the European Commission, MATS, CeSIA, Safer AI and the Future of Life Institute.Logistics It's free to attend: tuition, accommodation, and meals are provided.Participants cover travel costs (some financial support within the target region is available in cases of need) Camps are all taught in EnglishCohorts of ~20 participantsDatesTechnical track:UK: 2nd - 10th September France: 26th September - 4th October Governance & Strategy track:France: 14th - 22nd September France: 19th - 27th OctoberNote: We also expect to add an East Asia date in the coming week, so if you're based in Asia and excited about ML4Good, please bookmark us.Application deadline: 1st July 2026, 23:59 Anywhere on EarthFollow this link to apply!You should apply if you:Are motivated about making an impact in AI Safety. Some of our best applicants have been early-career researchers, engineers, policy and governance professionals, and ambitious generalistsHave taken a first step into AI Safety, like completing a BlueDot or University course, attending events with