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- Tasks: Join a team innovating AI-driven coding solutions and develop cutting-edge products.
- Company: Sonar, a leader in AI code review and verification.
- Benefits: Competitive salary, diverse culture, and opportunities for impactful work.
- Other info: Dynamic global team with a commitment to diversity and inclusion.
- Why this job: Be at the forefront of AI technology and make a real difference in software development.
- Qualifications: Advanced degree in Computer Science or related field; strong ML experience required.
The predicted salary is between 60000 - 80000 £ per year.
Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, 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. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like:
- SonarQube: The world’s leading AI code review and verification platform.
- SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair.
- SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective.
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.
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: You will 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.
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 accommodations@sonar.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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
Research Engineer - Post-Training for Agentic Coding in London 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 in London
✨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 and contributions. This is your chance to demonstrate what you can bring to the table, especially in AI and coding.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to agentic coding. We want you to feel confident and ready to impress with your knowledge and passion.
✨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, we love hearing from candidates who are excited about joining our team!
We think you need these skills to ace Research Engineer - Post-Training for Agentic Coding in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for AI and coding shine through! We want to see that you're not just qualified, but genuinely excited about the work we do at Sonar.
Tailor Your CV: Make sure your CV is tailored to the role of Research Engineer. Highlight relevant experience in machine learning and software engineering practices, and don’t forget to mention any hands-on projects you've worked on!
Be Clear and Concise: We appreciate clarity! When explaining your experience or ideas, keep it straightforward. Avoid jargon where possible, and remember that we want to understand your thought process easily.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application directly, and it helps us keep track of all the amazing candidates like you.
How to prepare for a job interview at Sonar
✨Know Your Stuff
Make sure you brush up on the latest trends in AI and machine learning, especially around post-training techniques. Be ready to discuss your experience with Python and any relevant frameworks, as well as how you've applied these skills in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in your previous roles. Think about times when you developed prototypes or turned research into products, and be ready to explain your thought process and the impact of your work.
✨Communicate Clearly
Since you'll need to explain technical concepts to both technical and non-technical audiences, practice articulating your ideas clearly and concisely. Consider doing mock interviews with friends or colleagues to refine your communication style.
✨Embrace the Team Spirit
Sonar values collaboration, so be prepared to discuss how you've worked effectively within a team. Highlight your experiences in cross-disciplinary projects and how you contributed to achieving common goals, showcasing your commitment to being an effective team player.