AI Researcher focused on post-training large language models for coding agents.
•Sonar is seeking an ambitious senior researcher to innovate and develop next-generation solutions for enterprise-grade coding agents and models.
•You will leverage Sonar's expertise in static analysis and combine it with advanced large language model post-training techniques.
•Key Responsibilities Develop and implement advanced products for post-training models to power agentic coding practices.
•Collaborate with researchers and engineers to iterate on prototypes and develop cutting-edge products.
•Contribute ideas and drive the next generation of coding model post-training for enterprises.
•Stay updated on LLM and agentic developments, explaining complex concepts to diverse audiences.
•Requirements Advanced academic background (Master's or PhD) in Computer Science, Machine Learning, or related quantitative field. 4+ years of industry experience in machine learning with solid software engineering practices.
•Fluency in Python; experience with Rust or SonarQube's flagship languages is a plus.
•Expertise in LLM post-training techniques including policy optimization, RLVR, SFT, data-centric AI, PEFT, and preference/safety alignment.
•Proven experience driving research projects from inception to product delivery.
•Excellent English communication skills for explaining complex scientific topics.