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Research Scientists and Engineers

4 months ago


London, United Kingdom COL Limited Full time

Please note that due to a high volume of very talented applicants, there may be a lag of several weeks between submission and follow-up from Apollo Research on your application. In the long run, we aim to explain and perhaps reverse engineer arbitrary mechanisms of arbitrary neural networks.
However, we expect the day-to-day work of most scientists and engineers to be comparable to existing public interpretability projects such as sparse coding , indirect object identification , causal scrubbing , toy models of superposition , or transformer circuits , as well as converting research insights into robust tools that can scale to very large models.
We are currently hiring Research Scientists and Research Engineers. In practice, the boundaries between these roles can be fluid as Research Scientists engage in programming and Engineers participate in experimental design. Apollo Research is a London-based technical AI safety organization. We specialize in auditing high-risk failure modes, particularly deceptive alignment, in large AI models. Our primary objective is to minimize catastrophic risks associated with advanced AI systems that may exhibit deceptive behavior, where misaligned models appear aligned in order to pursue their own objectives. Our approach involves conducting fundamental research on interpretability and behavioral model evaluations, which we then use to audit real-world models. Essential qualities for both Research Engineers and Scientists include:

The ability to create, manipulate, and analyse modern machine learning models, especially transformers, accurately and quickly. Furthermore, we value having experience with NN model training (familiarity with distributed training would be a bonus).
Neural Networks are Linear Algebra machines. This can include academic research, industry experience, or independent research as part of a program like SERI MATS, ARENA, the AI safety camp, an individual grant, and more. Prior experience is not strictly necessary but we value even small non-public projects to get a better feeling for how you approach interpretability.
A scientific mindset: We value diversity of thought and backgrounds, and are strongly committed to proactively creating an inclusive culture where everyone feels comfortable and that they can do their best work.
For Research Scientists, we are especially looking for a track record of empirical research, good Linear Algebra skills, solid writing abilities, and the ability to communicate ideas clearly.
For Research Engineers, we’re especially looking for people who are solid at software engineering and have hands-on experience with NNs. Basic experimental design skills, basic data analysis skills, and plotting skills are expected.
~ Time Allocation: Full-time
Location: London office, sharing the building with the London AI safety hub (ex SERI MATS office). In rare situations, we may consider partially remote arrangements on a case-by-case basis.
Work Visas: We will sponsor UK visas for people without current work permission.
Please note that due to a high volume of very talented applicants, there may be a lag of several weeks between submission and follow-up from Apollo Research on your application. Private Medical Insurance
Flexible work hours and schedule
A yearly $1,000 professional development budget
There are no leetcode-style general coding interviews. If you want to prepare for the interviews, you can work on hands-on interpretability projects.

The current Interpretability team consists of Lucius Bushnaq (Interpretability Researcher), Dan Braun (Lead Engineer), and Lee Sharkey (Research/Strategy Lead). You will mostly work with the Interpretability team, but we are a small organization, so you will also interact with others, including Marius Hobbhahn (CEO), Chris Akin (COO), Mikita Balesni (Evals Researcher) Jérémy Scheurer (Evals Researcher), and our policy advisors (tba).
Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.
Apollo Research is a fiscally sponsored project of Rethink Priorities
Thank you very much for applying to Apollo Research.
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