Empirical Researcher
Redwood Research
Empirical Researcher
Redwood Research
Nonprofit AI safety and security research
At Redwood Research, we strive to ensure the safe development of artificial intelligence through rigorous technical research, thoughtful analysis, and strategic advising.
As an empirical researcher, you will design and run experiments on frontier language models to assess AI risks and test the safety measures meant to address them.
Basic familiarity with AI safety and threat models
Basic familiarity with running modern frontier LLM experiments
Deep context on AI safety
Strong writing skills
Well-read on the state of risk assessments and risk reports out of AI companies
Familiarity with AI evaluation methodologies, in particular for loss-of-control threat models
Knowledge of computer security
Deep and broad knowledge of ML
For senior roles: management experience, experience publishing papers in top conferences, and experience leading big research projects
Read all the risk reports, such as this recent one by Redwood and METR
Read system cards for model releases
Read most of the Redwood blog
Go through our AI Futurism reading list
Our application process includes work tests and interviews. In most cases we will not offer a full-time position immediately, but instead offer a 4-month work trial.
We are committed to diversity and equal opportunity in all aspects of our hiring process. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We welcome and encourage all qualified candidates to apply for our open positions.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Nonprofit AI safety and security research
Redwood Research conducts AI safety and security research focused on preventing advanced AI systems from acting against human and institutional interests. It studies how misalignment could occur as AI capabilities rise and develops methodologies to manage these risks while preserving the benefits of AI. The work emphasizes understanding risks, evaluating safety strategies, and building practical approaches for alignment, verification, and governance. Its goal is to reduce the likelihood and impact of dangerous AI behavior and to guide responsible development and deployment of powerful AI systems.
Explore more opportunities at Redwood Research