AI Research Engineer

Join our team as an AI Research Engineer, where you will push the boundaries of agentic LLMs and reinforcement learning for our code generation tool. You will design and run experiments, build agents, curate datasets, and create rigorous evaluations. You will also write production-quality research code and collaborate closely with engineering to deliver improvements to our customers.

• Concevoir et exécuter des expériences, construire des agents, et créer des évaluations rigoureuses pour l'outil de génération de code agentique.
• Écrire du code de recherche de qualité de production et travailler en étroite collaboration avec l'ingénierie pour expédier les améliorations aux clients.
• Rester à jour sur les agents LLM, l'apprentissage par renforcement, et la synthèse de programmes, et appliquer ces connaissances à la recherche.
• Strong Python and ML framework experience (PyTorch preferred; JAX/HF a plus)
• Experience designing eval harnesses and success metrics for sequential/agentic tasks
• Demonstrated ability to turn research into working systems; reproducibility mindset (tests, seeds, configs, logging)
• PhD in CS/AI/ML (or equivalent research experience) with publications ideally in multi‑agent RL, agentic AI, or RL for language/code
• Clear communicator who partners well with engineers
• Comfortable with data acquisition/curation from documents/logs; good instincts about data quality and licenses
• Research on program synthesis/codegen, constrained decoding, or execution‑based rewards
• Experience with offline RL from tool traces or human corrections
• Open‑source contributions (e.g., CleanRL, RLlib, AutoGen, LangGraph, CrewAI, Transformers)
• Track record of shipping research to production and measuring impact
• Familiarity with semiconductor/chip domains or other complex technical specs