Redwood Research
The Redwood Research stream is looking for fast empirical iterators and strategists to work on control research.
Stream overview
Examples of areas of focus we are interested in include:
- High-stakes control
- Diffuse control
- Model organisms
- Generalization and alignment
- AI futurism
Mentors
Julian leads the diffuse control team at Redwood.
Aryan is a senior member of technical staff at Redwood Research.
Adam is an AI Safety researcher and member of technical staff at Redwood Research.
James is a member of technical staff at Redwood Research.
Vivek is a member of technical staff at Redwood Research.
Alex is a member of technical staff at Redwood Research.
Tyler is an AI Safety Researcher and member of technical staff at Redwood Research.
Buck is the CEO of Redwood Research.
Ryan is Chief scientist at Redwood Research, focused on technical AI safety research to reduce risks from rogue AIs.
Alek is working on AI safety at Redwood Research. He recently graduated from MIT where he studied Math, CS and AI. Before working on AI safety he did theoretical computer science research (data structures, online algorithms, and algorithmic graph theory).
Cody is a member of technical staff at Redwood Research working on AI security.
Mentorship style
Depending on the mentor:
- 30-60 min weekly meeting
- potentially daily stand-ups
- Slack messages
Fellows we are looking for
We are looking for people who are:
- fast at empirical ML iteration.
- thoughtful and articulate about AI safety.
- strong at quantitative reasoning.
Fellows can expect to collaborate with Redwood scholars and employees.
Project selection
We will assign projects by default but are open to getting pitched on projects.
The Winter 2026 cohort offers a wide range of research streams led by experts across AI alignment, interpretability, governance, and safety. Each stream provides its own research agenda, methodology, and mentorship focus.
