Research Scientist Intern – PhD (AI Agentic Systems)
Research Scientist Intern – PhD (AI Agentic Systems) at Leeroo — London, England, GB
- Company: Leeroo
- Location: London, England, GB
- Employment type: INTERN
- Salary: USD 6500–10000 / year
- Posted: 2026-07-17
About this 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
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.