AI Research Engineer (Post-Training)

Requirements

• An advanced academic background (Master’s or PhD) in Computer Science, Machine Learning, or a related quantitative field
• Strong industry experience in machine learning, with a solid understanding of modern software engineering practices and tools
• Fluency with Python including core ML frameworks, experience with Rust or any of SonarQube’s flagship languages (C#, C++, JS/TS, Java) is a plus
• Expertise in post‑training of AI models, with techniques such as:
• Reinforcement learning from verifiable rewards
• GRPO and related techniques
• Offline or semi‑online reinforcement learning
• Parameter efficient fine‑tuning
• Supervised fine‑tuning
• Safety Alignment
• Experience with large‑scale data processing frameworks and cloud infrastructure (e.g. AWS, Microsoft Foundry, Databricks)
• Experience of driving research projects, delivering valuable findings ...