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Machine Learning Engineer (Research & Innovation)

As a Machine Learning Engineer specializing in Research & Innovation, you will drive the application of ML, Deep Learning, and LLMs to improve the Software Development Lifecycle. This involves developing advanced AI and LLM models for bug detection and code remediation, engineering robust data pipelines, and integrating prototypes into production products.

About the role

About the Role

We are seeking a highly skilled and innovative Machine Learning Engineer to join our Research & Innovation team. In this role, you will be at the forefront of applying cutting-edge ML, Deep Learning, and LLM technologies to enhance the Software Development Lifecycle (SDLC) within our products.

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

Skills

MLDeep LearningLlmsSoftware Development LifecycleSdlcAi ModelsRetrieval Augmented GenerationRagData PipelinesCode Analysis

CompanySonar

DepartmentEngineering

LocationGeneva, Switzerland

Experience5+ years

Tenurefull-time

LevelSenior

Posted June 11, 2026

About the role

About the Role

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