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Skills: Large Language Models, Post-training, Python, Machine Learning, GRPO
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Full-time
postgraduate degree
Posted 7d ago
~40 hrs/week
Responsibilities
You will develop and implement advanced post-training solutions for agentic coding models to ensure high-quality, enterprise-grade code generation. Additionally, you will collaborate with cross-disciplinary teams to translate research prototypes into cutting-edge products.
Requirements
The ideal candidate holds an advanced academic degree (Master's or PhD) in a quantitative field and possesses at least 4 years of industry experience in machine learning. Expertise in LLM post-training techniques such as RLVR, SFT, and policy optimization is required.
Full job description
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 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 senior researcher 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.
\nWhat 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
The ideal candidate will have:
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.
\n
In-office culture
We're intentional about this. We believe the best teams are built in the room together. Three anchor days — Mondays, Tuesdays, and Thursdays — create the collaboration rhythm that makes a hub office worth having.
Candidates need to be genuinely based in the location the role is posted — if that's not where you are today, we're happy to support relocation for the right person.
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.
Applications that are submitted through agencies or third party recruiters will not be considered.
Related keywords
AI ResearcherAgent-centric DevelopmentSonarQubeLLMPost-trainingStatic AnalysisMachine LearningPythonRustC#JavaTypeScriptGRPOPPORLVRSFT
Trusted by 7M devs, Sonar is committed to enabling developers and organizations to build better code for better software
Industry
Software Development
Company size
501-1,000 employees
Founded
2008
Headquarters
Vernier, Geneva
LinkedIn followers
42,119
Total funding
$457M
Sonar is the trust and verification layer for AI code, and the industry standard for automated code review for 17+ years.
Sonar delivers deterministic, repeatable, and actionable code verification at scale by integrating code quality and code security into a single platform. The company analyzes more than 750 billion lines of code daily to ensure software is secure, reliable, and maintainable.
Sonar is rooted in the open source community and is trusted by 7M+ developers globally, including teams at Snowflake, Booking.com, Deutsche Bank, AstraZeneca, and Ford Motor Company.
To learn more about Sonar, please visit: www.sonar.com
Offices: Route de Pré-Bois 1, Vernier, Geneva 1214, CH · 80, Route des Vernes, Building " Le Paon" - 2nd Floor, Pringy, Auvergne-Rhône-Alpes 74370, FR · 111 W 6th St., 200, Austin, Texas 78701, US · Universitätsstraße 142, Bochum, North Rhine-Westphalia 44799, DE · 168 Robinson Road, Capital Tower #20-01, Singapore, 068912, SG
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