About the role
Location: Remote (EU, UK, US) / In‑person in London
Duration: 3 months (option to extend to 6)
At Leeroo—a Y Combinator‑backed company founded by former Meta AI and LinkedIn AI researchers and engineers—we’re building continuous‑learning agents driven by our Learning Engine, a modular framework that lets agents learn from human knowledge bases, feedback, and through self‑discovery, then apply that learning—evolving into expert teammates that get better every day rather than demo‑stage agents. We’re seeking Research Scientist Interns to join us in advancing the Learning Engine to build superhuman agents across domains.
About the Role
You’ll partner directly with the founders to design, implement, and evaluate new algorithms that let agents learn continuously. Successful prototypes move quickly into production, so your research will have an immediate impact on real users.
Responsibilities
- Design and run state‑of‑the‑art machine‑learning experiments to extend our agentic Learning Engine.
- Publish results through papers, datasets, and open‑source code.
- Collaborate with product and engineering to translate your research findings into the Learning Engine, delivering value to customers across diverse domains.
Qualifications
- PhD in AI, Computer Science, or a related field — or an equivalent record of research excellence
- Publications at top AI conferences (Neurips, ICML, ACL, …) or an open‑source project with significant traction
- Strong Python skills and experience with ML frameworks such as PyTorch
- Exceptional problem‑solving ability; comfortable working independently and in teams
