Position description
At Sonar, we are seeking an ambitious research engineer to join our cross‑disciplinary team, innovating and developing the next generation of solutions to build enterprise‑grade coding agents and models. You will harness Sonar’s deep experience in static analysis, and combine it with your experience and leading techniques in large language model post‑training. If you are interested in being hands‑on with state‑of‑the‑art research, building practical solutions that deliver high‑impact for customers, and working within a team of innovative researchers and engineers, this role is for you.
What you will do
- 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; drive learning and teach others. Explain complex technical details and concepts to both technical and non‑technical audiences.
Experience and qualifications
- 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 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
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 hiring@sonarsource.com.
All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.
We do not currently support visa candidates in the US.
Applications that are submitted through agencies or third‑party recruiters will not be considered.
#J-18808-Ljbffr”, “datePosted”: “2026-05-12”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Sonar”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__429307340__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }Position description
At Sonar, we are seeking an ambitious research engineer to join our cross‑disciplinary team, innovating and developing the next generation of solutions to build enterprise‑grade coding agents and models. You will harness Sonar’s deep experience in static analysis, and combine it with your experience and leading techniques in large language model post‑training. If you are interested in being hands‑on with state‑of‑the‑art research, building practical solutions that deliver high‑impact for customers, and working within a team of innovative researchers and engineers, this role is for you.
What you will do
- 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; drive learning and teach others. Explain complex technical details and concepts to both technical and non‑technical audiences.
Experience and qualifications
- 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 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
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 hiring@sonarsource.com.
All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.
We do not currently support visa candidates in the US.
Applications that are submitted through agencies or third‑party recruiters will not be considered.
#J-18808-Ljbffr…