About the RoleWe organize our team as Members of Technical Staff, with significant overlap between scientist and engineer roles. As a scientist, you will take ownership of and accelerate existing AI alignment research agendas. You can publish research findings broadly and engage with the AI alignment community. If you are an experienced research scientist, then we would be excited to incubate your agenda at FAR using our existing infrastructure and world-class team.
You will receive engineering mentorship via code review, pair programming and regular 1-to-1s. Alongside the engineers, you will be involved in develop scalable implementations of machine learning algorithms and using them to run scientific experiments,
You are encouraged to develop your research taste, proposing novel directions and joining a research pod which suits your interests. You are welcome to take time to study and to attend conferences free of charge. Our technical team is organized into research pods to enable continuity of organizational structure whilst each pod can pivot through varied research projects.
Beyond FAR.AI, you can work with national AI safety institutes, frontier model developers and top academics.
About YouWe are excited by unconventional backgrounds. You may have the following:
- New and under-explored AI alignment idea(s).
- Experience leading and/or playing a senior role in research projects related to machine learning.
- Ability to effectively communicate novel methods and solutions to both technical and non-technical audiences.
- PhD or several years research experience in computer science, artificial intelligence, machine learning or statistics.
LogisticsIf based in the USA or Singapore, you will be an employee of FAR.AI (501(c)(3) research non-profit / non-profit CLG). Outside the USA or Singapore, you will be employed via an EOR organisation on behalf of FAR.AI or as a contractor.
- Location: Both remote and in-person (Berkeley, CA or Singapore) are possible. We sponsor visas for in-person employees, and can hire remotely in most countries.
- Hours: Full-time (40 hours/week).
- Compensation: $120,000-$190,000/year depending on experience and location. We will also pay for work-related travel and equipment expenses. We offer catered lunch and dinner at our offices in Berkeley.
- Application process: A 72-minute programming assessment, two interviews with members of our technical staff, and a paid work trial lasting up to 1 week. If you are not available for a work trial we may be able to find alternative ways of testing your fit.
