Research Scientist Intern – PhD (AI Agentic Systems)

• 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.

• 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

• 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.