Research Scientist, Frontier Red Team (Autonomy), London
Location:London, United Kingdom
Job Category:Other
EU work permit required:Yes
Job Reference:0a7fbc8dd74e
Job Views:5
Posted:11.03.2025
Expiry Date:25.04.2025
Job Description:
Job Location:Greater London, UK
Job Location Type:Hybrid
Job Contract Type:Full-time
Job Seniority Level:Entry level
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
We are looking for Research Scientists to develop and productionize advanced autonomy evaluations on our Frontier Red Team. Our goal is to develop and implement a gold standard of advanced autonomy evals to determine the AI Safety Level (ASL) of our models. This will have major implications for the way we train, deploy, and secure our models, as detailed in our Responsible Scaling Policy (RSP).
We believe that developing autonomy evals is one of the best ways to study increasingly capable and agentic models. If you’ve thought particularly hard about how models might be agentic and associated risks, and you’ve built an eval or experiment around it, we’d like to meet you.
Please Note:
- We will be prioritizing candidates who can start ASAP and can be based in either our San Francisco or London office.
- We’re still iterating on the structure of our team. It is possible that this role might end up being the people manager of a few other individual contributors (ICs). If you would be interested in people management, you may express interest in the application.
Responsibilities:
- Lead the end-to-end development of autonomy evals and research, including risk and capability modeling, designing, implementing, and regularly running these evals.
- Quickly iterate on experiments to evaluate autonomous capabilities and forecast future capabilities.
- Provide technical leadership to Research Engineers to scope and build scalable and secure infrastructure for large-scale experiments.
- Communicate the outcomes of the evaluations to relevant Anthropic teams, policy stakeholders, and research collaborators.
- Collaborate with other projects on the Frontier Red Team, Alignment, and beyond to improve infrastructure and design safety techniques for autonomous capabilities.
You may be a good fit if you:
- Have an ML background and experience leading experimental research on LLMs/multimodal models and/or agents.
- Have strong Python-based engineering skills.
- Are driven to find solutions to ambiguously scoped problems.
- Design and run experiments and iterate quickly to solve machine learning problems.
- Thrive in a collaborative environment (we love pair programming).
- Have experience training, working with, and prompting models.
Annual Salary:The expected salary range for this position is: €225,000 — €270,000 EUR.
Logistics:
- Education requirements:We require at least a Bachelors degree in a related field or equivalent experience.
- Location-based hybrid policy:Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
- Visa sponsorship:We do sponsor visas! However, we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
How were different:We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. We value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.J-18808-Ljbffr
