AI Researcher - Post-Training

About the Position

AI Researcher - Post-Training

Geneva, Switzerland

Employee / Full-Time

On-site

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About the Company

Who is Sonar?

Sonar is driving the future of agent-centric software development. As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.

Integrating seamlessly with leading AI tools, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code.

Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE:

• Committed to our customers and community.
• Obsessed with quality.
• Deliberate in our decisions.
• Effective as one team.

With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you.

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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: 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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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, 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 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
• 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.

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We Offer

• Competitive salary
• Opportunity to work at the forefront of AI
• Collaborative and innovative work environment
• Comprehensive benefits package

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About the Company

At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

If you need any accommodation, please reach out to us at [email protected].

All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.

Applications that are submitted through agencies or third-party recruiters will not be considered.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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