🛠 Tech Stack

💼 About This Role

You'll join Sonar's cross-disciplinary team to develop next-gen AI solutions for enterprise-grade coding agents. Your work will bridge research and products that help customers post-train models to generate high-quality, secure code meeting enterprise standards.

🎯 What You'll Do

• Develop and implement advanced post-training products for agentic coding.
• Collaborate to design hypotheses and iterate proofs-of-concept into products.
• Contribute as subject matter expert on coding model post-training.
• Stay current with LLM and agentic developments, sharing knowledge across teams.

📋 Requirements

• Master's or PhD in CS, ML, or related quantitative field.
• Strong industry experience in machine learning with modern software engineering practices.
• Fluency in Python with core ML frameworks.
• Expertise in post-training techniques such as RL from verifiable rewards, GRPO, PEFT, SFT, safety alignment.

✨ Nice to Have

• Experience with Rust or SonarQube flagship languages (C#, C++, JS/TS, Java).
• Experience with large-scale data processing and cloud infrastructure (AWS, Azure, Databricks).
• Track record of driving research projects to productization.

🎁 Benefits & Perks

• 💰 Competitive compensation with equity packages.
• 🏖️ Flexible PTO policy.
• 🏥 Comprehensive health insurance (medical, dental, vision).
• 📚 Learning & development budget for conferences and courses.
• 🌍 Global team collaboration across multiple hubs.

📨 Hiring Process

Estimated timeline: 3-5 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite/Team Interview· Half day