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Sonar

Code quality and security analysis tools

AI Researcher - Post-Training

AI ResearchConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • An advanced academic background (Master’s or PhD) in Computer Science, Machine Learning, or a related quantitative field.
  • At least 4 years of industry experience in machine learning, with a solid understanding of modern software engineering practices and tools.
  • Fluency in Python, including core machine-learning frameworks.
  • Expertise in post-training large language models, including policy optimization algorithms such as GRPO and PPO, verifier-based reinforcement learning frameworks (RLVR), supervised fine-tuning (SFT), data-centric AI methods including synthetic data and curation, parameter-efficient fine-tuning (PEFT), and preference and safety alignment.
  • Excellent communication skills in English and the ability to explain complex scientific topics clearly and concisely.

Responsibilities

  • Work in a team developing and implementing advanced products that enable customers to post-train models for agentic coding practices, producing agents that generate high-quality code meeting enterprise standards and software development best practices.
  • Collaborate with researchers, research engineers, MLOps, and engineers to design hypotheses and experiments, rapidly iterate proofs of concept, and develop successful prototypes into products.
  • Contribute and discuss ideas within the cross-disciplinary team, driving the next generation of enterprise coding-model post-training.
  • Stay up to date with large language model and agentic developments, and explain complex technical details and concepts to technical and non-technical audiences.
  • Drive research projects, deliver valuable findings and prototypes, and convert them into products.

Desired Qualifications

  • Experience with Rust or any of SonarQube’s flagship languages: C#, C++, JavaScript/TypeScript, or Java.

About the Company

Sonar

Code quality and security analysis tools

SonarSource provides tools that help developers improve code quality and security. Its products include SonarLint (an IDE plugin that gives real-time feedback), SonarQube (a self-hosted code analysis and reporting platform), and SonarCloud (a cloud-based service with similar analysis and governance). The tools analyze code for bugs, vulnerabilities, and maintainability issues and offer guidance to fix them; SonarLint gives instant feedback in the IDE, while SonarQube and SonarCloud offer deeper analysis and dashboards for teams. The goal is to help teams keep code clean, secure, and reliable by supporting a broad, subscription-based suite used by thousands of organizations.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$457.1M
Headquarters
Vernier, Switzerland
Founded
2008

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