AI Researcher - Post-Training

Sonar • Geneva, IL

6d • Onsite

About The Position

Sonar is seeking an ambitious senior researcher to join their cross-disciplinary team. This role involves innovating and developing the next generation of solutions for enterprise-grade coding agents and models. The researcher will leverage Sonar’s expertise in static analysis and combine it with advanced techniques in large language model post-training. The position offers hands-on experience with state-of-the-art research, building practical, high-impact solutions, and working within an innovative team of researchers and engineers.

Requirements

• An advanced academic background (Master’s or PhD) in Computer Science, Machine Learning, or a related quantitative field.
• 4+ years industry experience in machine learning.
• Solid understanding of modern software engineering practices and tools.
• Fluency with Python including core ML frameworks.
• Experience of driving research projects, delivering valuable findings and prototypes, and then converting them into products.
• Excellent communication skills in English.
• Talent for explaining complex scientific topics clearly and concisely.
• Must be genuinely based in Geneva or willing to relocate.

Nice To Haves

• Experience with Rust or any of SonarQube’s flagship languages (C#, C++, JS/TS, Java).
• Expertise in post-training of large language models, including: Policy optimization algorithms (e.g. GRPO, PPO), Verifier-based RL frameworks (RLVR), Supervised fine-tuning (SFT), Data-centric AI methods, including synthetic data and curation, Parameter-efficient fine-tuning (PEFT), Preference and Safety Alignment.

Responsibilities

• Work in a team developing and implementing advanced products that enable customers to post-train models to power their agentic coding practices, ensuring high-quality code generation that meets enterprise standards and software development best practices.
• Collaborate closely with researchers, research engineers, MLOps, and engineers to design hypotheses and experiments, iterate proofs-of-concept quickly, and develop successful prototypes into cutting-edge products.
• Contribute and discuss ideas within the cross-disciplinary team, driving the next generation of coding model post-training for enterprises.
• Stay up-to-date with the latest LLM and agentic developments, driven by learning and teaching others.
• Explain complex technical details and concepts to both technical and non-technical audiences.

Benefits

• Relocation assistance for the right candidate.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior