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AI Research Scientist/Engineer (f/m/d)
SonarSource —Bochum
- 90.000 € – 160.000 € pro Jahr
- Vollzeit
- Doktorat
- Informatik
- Forschungserfahrung

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AI Research Scientist/Engineer (f/m/d)
SonarSource —Bochum
Strong industry experience in machine learning, with a solid understanding of modern software engineering practices and tools. Familiarity with Java is a plus.
90.000 € – 160.000 € pro Jahr

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AI Research Scientist/Engineer (f/m/d)

SonarSource -
Bochum

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Details zur Stelle

Vollzeit
90.000 € – 160.000 € pro Jahr

Qualifikationen

TensorFlow
Doktorat
Informatik
Forschungserfahrung
Java
Master
Datenbanken
AWS
Machine Learning
Computerlinguistik
Künstliche Intelligenz
Python
Softwareentwicklungszyklus

Vollständige Stellenbeschreibung

Position description

At Sonar, we are seeking an innovative Machine Learning Scientist to join our Data & AI team and pioneer the next generation of our code analysis engine. You will be at the forefront of applying cutting-edge AI and Large Language Model (LLM) techniques to the complex domain of source code. Your work will directly shape our products, pushing the boundaries of static analysis to help millions of developers write better, more secure code. If you are driven to solve real-world problems by turning state-of-the-art research into practical, high-impact solutions, this is the role for you.

What you will do

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.

Experience and qualifications

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.

Salary range

€90,000 - €160,000 a year

Additional comments

This role is based in Bochum. We are unable to consider candidates unwilling to be in Bochum, but we are willing to relocate the right candidate.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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data scientist Jobs in schwerte, nw

AI Research Scientist/Engineer (f/m/d)

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