Machine Learning Scientist (AI for Code)

Das ist der Job

Familiarity with Java is a plus.

Darum lohnt es sich

We believe team members should have the opportunity to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. The impact you will have We are seeking an innovative Machine Learning Scientist to join our Data & AI team and pioneer the next generation of our code analysis engine.

Translate Prototypes to Products: Collaborate closely with engineering and product teams to integrate successful ML prototypes into Sonar’s cutting-edge products, ensuring they meet the needs of our global user base. Strong industry experience in machine learning, with a solid understanding of modern software engineering practices and tools.

Hands‑on experience with modern LLM architectures and techniques, such as Fine‑tuning strategies (e.g., LoRA, QLoRA), advanced prompt engineering, building and optimizing RAG pipelines, and working with vector databases and semantic search. Benefits Dynamic work culture that values respect, kindness, and a right to fail.

At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help organizations build responsible, secure, high-quality code quickly and systematically. We build solutions that don’t just solve symptoms of problems – we fix problems at the source – source code, to be specific.

We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. Your work will directly shape our products, pushing the boundaries of static analysis to help millions of developers write better, more secure code.

What you will do daily Spearhead Research & Innovation: Stay on the cutting edge of ML, Deep Learning, and LLMs, specifically their application to the Software Development Lifecycle (SDLC), and identify novel opportunities to enhance our products.

Develop Advanced AI Models: Design, prototype, and validate novel ML models that identify and resolve complex bugs, vulnerabilities, and code smells, going beyond the capabilities of traditional static analysis.

Build LLM-Powered Features: Develop and implement advanced LLM-based solutions, including Retrieval-Augmented Generation (RAG) for contextual code analysis, fine-tuning models on proprietary codebases, and exploring agentic systems for automated code remediation.

Engineer Data Pipelines: Build and manage robust data pipelines to gather, process, and version massive code-centric datasets required for training and evaluating specialized models at scale. Communicate and Evangelize: Clearly articulate and document complex technical concepts and research findings to both technical and non-technical stakeholders.

The experience that you need Advanced academic background (Master’s or PhD) in Computer Science, Machine Learning, or a related quantitative field. Programming skills in Python and hands‑on experience with core ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face).

Proven experience in applied Machine Learning, with a strong focus on NLP or, ideally, PLP. Experience with large‑scale data processing frameworks and cloud infrastructure (e.g., AWS). Experience of driving research projects from ideation to demonstrable prototype with high autonomy.

Excellent communication skills in English and a talent for explaining complex scientific topics clearly. Supportive environment for learning and continuous education. Flexible work policy allowing remote and in‑office hybrid work (minimum three days a week in the office). Work‑life balance support.

We prioritize Diversity, Equity, and Inclusion: Sonar is an equal‑opportunity employer. All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

All offers of employment at Sonar are contingent upon a comprehensive background check conducted prior to the start date. #J-18808-Ljbffr