Machine Learning Scientist (AI for Code) at Sonar

Geneva, Geneva, Switzerland

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Software DevelopmentIndustries

Requirements

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
Solid programming skills in Python and hands-on experience with core ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face). Familiarity with Java is a plus
Proven experience in applied Machine Learning, with a strong focus on Natural Language Processing (NLP) or, ideally, Programming Language Processing (PLP)
Hands-on experience with modern LLM architectures and techniques, such as Fine-tuning strategies (e.g., LoRA, QLoRA), advanced prompt engineering, building and optimizing Retrieval-Augmented Generation (RAG) pipelines and working with vector databases and semantic search
Experience with large-scale data processing frameworks and cloud infrastructure (e.g. AWS)
Experience of driving research projects from initial ideation to a demonstrable prototype with a high degree of autonomy
Excellent communication skills in English and a talent for explaining complex scientific topics clearly and concisely

Responsibilities

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
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
Communicate and Evangelize: Clearly articulate and document complex technical concepts and research findings to both technical and non-technical stakeholders

Skills

Machine Learning

Deep Learning

LLMs

RAG

Static Analysis

Source Code Analysis

Sonar

Tools for code quality and security

About Sonar

SonarSource provides tools aimed at improving code quality and security for software developers. Its main products include SonarLint, an IDE plugin that gives real-time feedback on code quality; SonarQube, a self-managed solution for comprehensive code analysis and reporting; and SonarCloud, a cloud-based service that offers similar features with the convenience of cloud management. SonarSource operates on a subscription-based model, allowing clients to access its tools through annual subscriptions or usage-based pricing for cloud services. The company serves over 400,000 organizations worldwide, emphasizing the importance of writing clean, maintainable, and secure code. SonarSource's goal is to promote the philosophy of "Clean Code," which enhances the efficiency of development teams and improves the security and reliability of software applications.

Vernier, SwitzerlandHeadquarters

2008Year Founded

$444.6MTotal Funding

LATE_VCCompany Stage

Enterprise Software, CybersecurityIndustries

501-1,000Employees