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- Tasks: Join a team to innovate and develop enterprise-grade coding agents and models.
- Company: Sonar, a leader in static analysis and cutting-edge technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse and inclusive environment with excellent career advancement opportunities.
- Why this job: Be hands-on with state-of-the-art research and make a real impact.
- Qualifications: Advanced degree in Computer Science or related field; strong ML experience required.
The predicted salary is between 60000 - 80000 ÂŁ per year.
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
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.
Research Engineer - Post-Training for Agentic Coding employer: Sonar
Contact Detail:
Sonar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer - Post-Training for Agentic Coding
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and coding. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios relevant to research engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Research Engineer - Post-Training for Agentic Coding
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in machine learning and software engineering practices, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about research engineering and how your background aligns with our mission at Sonar. Be specific about your experience with post-training techniques and coding standards.
Showcase Your Projects: Include links to any relevant projects or prototypes you've developed. This gives us a chance to see your hands-on experience and how you approach problem-solving in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any third-party interference.
How to prepare for a job interview at Sonar
✨Know Your Stuff
Make sure you brush up on the latest developments in large language models and agentic coding. Be ready to discuss your experience with post-training techniques like reinforcement learning and fine-tuning. This shows you're not just familiar with the theory but can also apply it practically.
✨Showcase Your Projects
Prepare to talk about specific projects where you've driven research or developed prototypes. Highlight how you translated those prototypes into products, as this aligns perfectly with what Sonar is looking for. Use concrete examples to illustrate your impact.
✨Communicate Clearly
Since you'll need to explain complex concepts to both technical and non-technical audiences, practice simplifying your explanations. Think of ways to break down intricate ideas into digestible bits. This will demonstrate your communication skills and ability to collaborate within a cross-disciplinary team.
✨Embrace Diversity
Sonar values diversity and inclusion, so be prepared to discuss how your unique background or perspective can contribute to their team. Share experiences that highlight your adaptability and openness to different viewpoints, showing that you align with their company culture.