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Machine Learning Scientist - AI for Code(m/w/x)
Designing LLM-based solutions for contextual code analysis and bug detection at a code quality platform. Hands-on experience with advanced language model architectures and NLP/PLP focus required. Flexible hybrid work.
Anforderungen
- Advanced academic background in Computer Science, Machine Learning, or related quantitative field
- Strong industry experience in machine learning and modern software engineering practices
- Solid programming skills in Python and hands-on experience with core ML/DL frameworks
- Proven experience in applied Machine Learning with focus on NLP or Programming Language Processing
- Hands-on experience with modern LLM architectures and techniques
- Experience with large-scale data processing frameworks and cloud infrastructure
- Experience driving research projects from ideation to prototype with autonomy
- Excellent communication skills in English and ability to explain complex topics clearly
Aufgaben
- Stay updated on ML, Deep Learning, and LLM advancements
- Identify opportunities to enhance products within the SDLC
- Design and prototype advanced ML models for bug and vulnerability detection
- Validate models that address complex code issues
- Develop LLM-based solutions for contextual code analysis
- Implement Retrieval-Augmented Generation (RAG) techniques
- Fine-tune models on proprietary codebases
- Explore agentic systems for automated code remediation
- Build and manage data pipelines for large code-centric datasets
- Gather and process data for training specialized models
- Collaborate with engineering and product teams to integrate ML prototypes
- Ensure products meet the needs of a global user base
- Document and communicate technical concepts to stakeholders
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- Hugging Face
- AWS
Benefits
Flexibles Arbeiten
- Flexible work policy
- Remote and in-office hybrid work
Mentoring & Coaching
- Growth mindset
Weiterbildungsangebote
- Continuous education
Sonstige Vorteile
- Diversity, Equity, and Inclusion
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- SonarVollzeitRemoteSeniorBochum, Genf
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Machine Learning Scientist - AI for Code(m/w/x)
Designing LLM-based solutions for contextual code analysis and bug detection at a code quality platform. Hands-on experience with advanced language model architectures and NLP/PLP focus required. Flexible hybrid work.
Anforderungen
- Advanced academic background in Computer Science, Machine Learning, or related quantitative field
- Strong industry experience in machine learning and modern software engineering practices
- Solid programming skills in Python and hands-on experience with core ML/DL frameworks
- Proven experience in applied Machine Learning with focus on NLP or Programming Language Processing
- Hands-on experience with modern LLM architectures and techniques
- Experience with large-scale data processing frameworks and cloud infrastructure
- Experience driving research projects from ideation to prototype with autonomy
- Excellent communication skills in English and ability to explain complex topics clearly
Aufgaben
- Stay updated on ML, Deep Learning, and LLM advancements
- Identify opportunities to enhance products within the SDLC
- Design and prototype advanced ML models for bug and vulnerability detection
- Validate models that address complex code issues
- Develop LLM-based solutions for contextual code analysis
- Implement Retrieval-Augmented Generation (RAG) techniques
- Fine-tune models on proprietary codebases
- Explore agentic systems for automated code remediation
- Build and manage data pipelines for large code-centric datasets
- Gather and process data for training specialized models
- Collaborate with engineering and product teams to integrate ML prototypes
- Ensure products meet the needs of a global user base
- Document and communicate technical concepts to stakeholders
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- Hugging Face
- AWS
Benefits
Flexibles Arbeiten
- Flexible work policy
- Remote and in-office hybrid work
Mentoring & Coaching
- Growth mindset
Weiterbildungsangebote
- Continuous education
Sonstige Vorteile
- Diversity, Equity, and Inclusion
Über das Unternehmen
Sonar
Branche
IT
Beschreibung
Sonar helps prevent code quality and security issues, enhancing developer productivity with AI-driven tools.
Noch nicht perfekt?
- Sonar
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Vollzeitmit HomeofficeManagementEssen, Hamburg