This position is no longer available
Research Scientist Intern – PhD (AI Agentic Systems)
remote•London•$78k - $120k
Summary
Location
London
Salary
$78k - $120k
Workplace
Remote
Visa
US citizenship/visa not required
Company links
This position is no longer available
This job listing has been removed by the employer and is no longer accepting applications.
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About Leeroo
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.
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
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.
Technology
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.
What you'll do
- 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.
About Leeroo
About LeerooAt 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.TechnologyWe’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.
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Frequently Asked Questions
What does Leeroo pay for a Research Scientist Intern – PhD (AI Agentic Systems)?
Leeroo offers a competitive compensation package for the Research Scientist Intern – PhD (AI Agentic Systems) role. The salary range is USD 78k - 120k per year. Apply through Clera to learn more about the full compensation details.
What does a Research Scientist Intern – PhD (AI Agentic Systems) do at Leeroo?
As a Research Scientist Intern – PhD (AI Agentic Systems) at Leeroo, you will: 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..
Is the Research Scientist Intern – PhD (AI Agentic Systems) position at Leeroo remote?
Yes! The Research Scientist Intern – PhD (AI Agentic Systems) position at Leeroo is a remote role, with team members based in London, United Kingdom. Apply through Clera to learn more about their remote work policies.
How do I apply for the Research Scientist Intern – PhD (AI Agentic Systems) position at Leeroo?
You can apply for the Research Scientist Intern – PhD (AI Agentic Systems) position at Leeroo directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.