Sonar Source

3 months ago

AI Research Scientist/Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Join the Data & AI team to push the boundaries of AI, ML, and LLMs for code analysis. You will design novel models, build RAG-enabled features, and translate research prototypes into customer-ready products, improving bug detection, security, and code quality at scale while collaborating across engineering and product teams.

Location: Germany

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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.

Key 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:Machine learningNlpPlpLlmSoftware engineering

Education:Master's

Skills:CommunicationCollaborationProblem-solvingPresentation

Languages:English

Tech Stack:PythonPyTorchTensorFlowHugging FaceJavaAWSLLMRAGVector databasesSemantic search

Company Brief

Sonar Source

Builds static code analysis and continuous inspection tools (SonarQube, SonarCloud, SonarLint) that identify bugs, vulnerabilities, and code smells across multiple languages to help teams improve code quality and maintainability.

Industry: Developer Tools

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: Geneva, Switzerland

Founded: 2008

Website LinkedIn

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Sonar Source

3 months ago

AI Research Scientist/Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: Germany

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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.

Key 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:Machine learningNlpPlpLlmSoftware engineering

Education:Master's

Skills:CommunicationCollaborationProblem-solvingPresentation

Languages:English

Tech Stack:PythonPyTorchTensorFlowHugging FaceJavaAWSLLMRAGVector databasesSemantic search

Company Brief

Sonar Source

Industry: Developer Tools

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: Geneva, Switzerland

Founded: 2008

Website LinkedIn