SonarSource
Senior AI Engineer(m/w/x)
Full-timeRemoteSenior
Bochum, Genf
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SOSonar
Machine Learning Scientist - AI for Code(m/w/x)
Genf
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Prototyping ML models for code bug/vulnerability detection and LLM solutions for contextual code analysis. Hands-on experience with modern large language model architectures and NLP/PLP focus required. Flexible work policy.
Requirements
- Advanced academic background (Master’s or PhD) in Computer Science, Machine Learning, or a 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 (e.g., PyTorch, TensorFlow, Hugging Face)
- Proven experience in applied Machine Learning with a focus on Natural Language Processing (NLP) or Programming Language Processing (PLP)
- Hands-on experience with modern LLM architectures and techniques, such as Fine-tuning strategies, advanced prompt engineering, and working with vector databases
- Experience with large-scale data processing frameworks and cloud infrastructure (e.g. AWS)
- Experience driving research projects from ideation to prototype with high autonomy
- Excellent communication skills in English and ability to explain complex scientific topics clearly
Tasks
- 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
- Articulate complex technical concepts to diverse stakeholders
- Document research findings for technical and non-technical audiences
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- Hugging Face
- AWS
Benefits
Flexible Working
- Flexible work policy
Informal Culture
- Dynamic work culture
Learning & Development
- Continuous education support
Social Impact
- Diversity, Equity, and Inclusion commitment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Sonar and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SOSonar
Machine Learning Scientist - AI for Code(m/w/x)
Genf
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Prototyping ML models for code bug/vulnerability detection and LLM solutions for contextual code analysis. Hands-on experience with modern large language model architectures and NLP/PLP focus required. Flexible work policy.
Requirements
- Advanced academic background (Master’s or PhD) in Computer Science, Machine Learning, or a 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 (e.g., PyTorch, TensorFlow, Hugging Face)
- Proven experience in applied Machine Learning with a focus on Natural Language Processing (NLP) or Programming Language Processing (PLP)
- Hands-on experience with modern LLM architectures and techniques, such as Fine-tuning strategies, advanced prompt engineering, and working with vector databases
- Experience with large-scale data processing frameworks and cloud infrastructure (e.g. AWS)
- Experience driving research projects from ideation to prototype with high autonomy
- Excellent communication skills in English and ability to explain complex scientific topics clearly
Tasks
- 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
- Articulate complex technical concepts to diverse stakeholders
- Document research findings for technical and non-technical audiences
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- Hugging Face
- AWS
Benefits
Flexible Working
- Flexible work policy
Informal Culture
- Dynamic work culture
Learning & Development
- Continuous education support
Social Impact
- Diversity, Equity, and Inclusion commitment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Sonar and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Sonar
Industry
IT
Description
Sonar helps prevent code quality and security issues, enhancing developer productivity with AI-driven tools.
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