At a Glance
- Tasks: Join a team innovating AI solutions for enterprise-grade coding agents and models.
- Company: Sonar, a leader in AI code review and verification.
- Benefits: Competitive salary, inclusive culture, and opportunities for impactful work.
- Other info: Diverse and inclusive workplace with excellent career growth potential.
- Why this job: Be at the forefront of AI development and make a real difference.
- 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
- Experience with large-scale data processing frameworks and cloud infrastructure (e.g. AWS, Microsoft Foundry, Databricks).
- 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.
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 [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. 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.
AI Research Engineer - Post-Training in London employer: Sonar
At Sonar, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through our focus on continuous learning and development, ensuring that every team member has the opportunity to thrive in their career. With a diverse and inclusive environment located in vibrant global hubs, including London, we empower our employees to make a meaningful impact in the rapidly evolving field of AI software development.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Engineer - Post-Training in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Sonar. LinkedIn is your best mate here—send personalised messages and ask for insights about their work. You never know who might put in a good word for you!
✨Tip Number 2
Prepare for interviews by diving deep into Sonar's products and recent developments in AI code verification. Show us you’re not just another candidate; demonstrate your passion and knowledge about what we do. Bring your A-game!
✨Tip Number 3
Practice makes perfect! Get a friend or mentor to conduct mock interviews with you. Focus on explaining complex concepts clearly, as you’ll need to communicate effectively with both technical and non-technical audiences at Sonar.
✨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 being part of the Sonar team!
We think you need these skills to ace AI Research Engineer - Post-Training in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Research Engineer role. 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 AI and how your background makes you a great fit for Sonar. Be sure to mention specific technologies or methodologies you’ve worked with that relate to our needs.
Showcase Your Projects:If you've got any projects or research that demonstrate your skills in post-training of AI models, don’t hold back! Include links or descriptions that show off your work and how it could benefit our team.
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. Plus, it shows us you’re keen to join our team!
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 post-training techniques. Be ready to discuss your experience with reinforcement learning, fine-tuning, and any relevant projects you've worked on. This shows you're not just familiar with the theory but can apply it practically.
✨Show Your Team Spirit
Sonar values collaboration, so be prepared to talk about how you've worked in cross-disciplinary teams before. Share examples of how you’ve contributed to turning prototypes into products and how you communicate complex ideas to both technical and non-technical folks.
✨Be Outcome Driven
Highlight your experience in developing products that meet enterprise standards. Discuss specific outcomes from your previous work, especially those that demonstrate your ability to deliver high-quality code and innovative solutions. This aligns perfectly with Sonar's focus on outcome-driven development.
✨Ask Smart Questions
Prepare insightful questions about Sonar’s products and their approach to AI code verification. This not only shows your interest in the role but also demonstrates your understanding of the industry and the challenges they face. It’s a great way to engage with your interviewers and leave a lasting impression.
