Machine Learning Research Engineer

About the Role

As a Machine Learning Research Engineer, you will be at the forefront of applying cutting‑edge AI technologies to the Software Development Lifecycle (SDLC) to enhance our products.

• Spearhead Research & Innovation
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  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
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  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
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  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
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  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
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  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
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  Clearly articulate and document complex technical concepts and research findings to both technical and non‑technical stakeholders.