sonarsource - Sonar - Research Engineer - Post-Training for Agentic Coding
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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 and prototypes, and then converting them into products. • Excellent communication skills in English and a talent for explaining complex scientific topics clearly and concisely. • We value diversity, equity, and inclusion
Responsibilities
• Outcome Driven Development: Work in a team developing and implementing advanced products that enable customers to post-train models to power their agentic coding practices. These agents need to generate high-quality code that meets their enterprise standards and software development best practices. • Translate Prototypes to Products: Collaborate closely with researchers, research engineers, MLOps and Engineers within the team to design hypotheses and experiments, iterate proofs-of-concept quickly and develop successful prototypes into cutting-edge products. • Subject Matter Expert: You will contribute and discuss ideas within our cross-disciplinary team, driving towards the next generation of coding model post-training for enterprises. • Spearhead Research & Innovation: Stay up-to-date with the latest LLM and agentic developments; you are driven by learning and teaching others. You will need to explain complex technical details and concepts to both technical and non-technical audiences.
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