Skip to content
Level

SonarSource

AI Researcher - Post-Training (f/m/d)

SonarSource is hiring an AI Researcher - Post-Training (f/m/d). Level rates it ; you can apply on SonarSource.

Level's read on this job

  • On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include fine tuning and MLOps.
  • Level classifies it as a mid-level role.
  • Level lists 120 other open roles at SonarSource.

AI in this role

fine-tuningml-ops

Who is Sonar?

Sonar enables organizations to ship agentic code with confidence. Code creation is abundant, but confidence is scarce. Our core platform, SonarQube, verifies over 750 billion lines of code every day, delivering agentic verification and governance for all code. Trusted by more than 7 million developers and 75% of the Fortune 100, including teams at Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company, Sonar enables organizations to reduce outages, improve security, and lower the cost and risk of agentic software development.

Founded in Geneva and now headquartered in Austin, Texas, Sonar has a global team working across offices and hubs, including Silicon Valley, London, Bochum, Barcelona, Singapore, Tokyo, and the Washington, D.C. area. At Sonar, we’re enabling enterprises to build agentic software factories that can move quickly while maintaining the control, consistency and evidence required to ship with confidence. 


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.

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

    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.

Additional comments

This role is based in Bochum. We are unable to consider candidates unwilling to be in this location, but we are willing to relocate the right candidate.


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 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. 

Applications that are submitted through agencies or third party recruiters will not be considered. 

How we rate this

AI Researcher - Post-Training (f/m/d) at SonarSource rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuningML Ops

Questions you could be asked

  1. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  2. How do you monitor a model once it's live, and how do you know it needs retraining?
  3. How would you decide a model or AI system is ready to ship?
  4. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: Fine-tuning and ML Ops. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. You get your review by email within 24 hours.

Get new research jobs (Builds AI ●●●●) by email

One email a week with the new research jobs (Builds AI ●●●●), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Research roles that build AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at SonarSource

Related searches

Same AI level