Research Scientist Intern – PhD

At Leeroo—founded by former Meta AI and LinkedIn AI researchers and engineers—delivers continuously learning AI agents that learn much like human colleagues— from knowledge bases, human feedback, and even their own past experiences. 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 Familiarity with graph databases, vector stores, or Elasticsearch for structured‑data retrieval Knowledge of advanced training algorithms (e.g., DPO, RLHF, GRPO) Clear written and verbal communication What We Offer Remote‑friendly setup — work from anywhere in compatible time zones, with our office based in London for in‑person collaboration Competitive, top‑of‑market compensation package Freedom to pursue ambitious research aligned with our mission Close collaboration with the founders and senior researchers Limitless cloud compute — GPU clusters and a war chest of cloud credits ready for your experiments Conference travel, publication, and open‑source support Option to extend to 6 months or transition to a full‑time role If you’re excited about creating AI that learns continuously and autonomously, we’d love to hear from you. 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.