Leeroo · 5 months ago
Research Scientist Intern – PhD (AI Agentic Systems)
Leeroo is a Y Combinator-backed company focused on building continuous-learning agents through their innovative Learning Engine. They are seeking Research Scientist Interns to partner with the founders in designing, implementing, and evaluating algorithms that enable agents to learn continuously, with the potential for immediate impact on real users.
Artificial Intelligence (AI)Software
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
Qualification
Required
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
Benefits
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
Company
Leeroo
Trainable Deep Agents
Funding
Current Stage
Early StageTotal Funding
$0.5MKey Investors
Y Combinator
2024-12-04Pre Seed· $0.5M
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