Leeroo

Founding Engineer About the role Leeroo is a YC-backed company building continuously learning AI agents that evolve into expert teammates, with a technical team of researchers and engineers from Meta AI, LinkedIn AI, and EPFL. As a Founding Engineer, you’ll guide customers through the full lifecycle, from pre-sales discovery to production rollout and post-launch iteration, turning real business problems into robust agentic systems. Day to day, you’ll work directly with customer stakeholders and engineers to align requirements, unblock data access, and stitch our agents into their enterprise tech stack to deliver production value quickly. What you will do Be a customer-first problem solver: work end-to-end with customers, from discovery to delivery, turning ambiguous asks into scoped, shippable plans with clear ROI, while navigating the messy middle (chasing data owners, mapping processes, wrangling imperfect data/APIs) to show the impact of Leeroo Agents effectively. Build state-of-the-art GenAI applications across enterprise use cases by connecting our continuous-learning agents, co-driving transformation with customers. Work in a tight loop with Core Research & Product Engineering: as an FDE you surface reusable patterns from real customer work (prototype solutions, test usability, identify what’s generalizable); Core teams then productize those insights into the Leeroo platform/Learning Engine so the next customer needs less custom work and ships faster. Join pre-sales and discovery calls to understand needs, shape solution roadmaps, and provide clear technical guidance on Leeroo’s approach and ecosystem choices. About you Master’s/PhD in CS/AI/Data Science (or equivalent experience). 2+ years as a hands-on IC (data scientist, ML/AI engineer, or software engineer) shipping AI-powered products. End-to-end experience building and deploying LLM/NLP applications (APIs, back-end integration; light front-end when needed). Familiarity with agent frameworks, vector databases, and retrieval workflows. Clear communicator able to translate complex technical ideas for non-technical stakeholders. Ideally you have Strong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition). Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar. Exposure to privacy, security, and emerging model-governance practices (e.g., EU AI Act readiness). Why Leeroo Senior, founder-led team from Meta AI, LinkedIn, and EPFL with fast feedback loops and genuine ownership. Competitive compensation with meaningful equity, plus high-end hardware and a generous learning budget. Remote-friendly setup, work from anywhere in compatible time zones, with our office based in London.

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.