The AI Job Search Engine
Machine Learning Scientist - AI for Code(m/w/x)
Description
As a Machine Learning Scientist, you will drive innovation by developing advanced AI models and LLM-powered features that enhance code analysis. Your work will involve building data pipelines and collaborating with teams to translate prototypes into impactful products.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Education
Work Experience
approx. 4 - 6 years
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
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Flexible work policy
Informal Culture
- •Dynamic work culture
Learning & Development
- •Continuous education support
Social Impact
- •Diversity, Equity, and Inclusion commitment
- SonarFull-timeRemoteSeniorGenf
- Sonar
Senior Software Engineer (Python)(m/w/x)
Full-timeRemoteSeniorBochum, Genf - Sonar
Technical AI Product Manager(m/w/x)
Full-timeWith HomeofficeSeniorGenf - Sonar
JavaScript/TypeScript Software Engineer - Static Code Analysis(m/w/x)
Full-timeWith HomeofficeExperiencedGenf, Bochum - Sonar
Forward Deployed Engineer, ML(m/w/x)
Full-timeRemoteExperiencedGenf
Machine Learning Scientist - AI for Code(m/w/x)
The AI Job Search Engine
Description
As a Machine Learning Scientist, you will drive innovation by developing advanced AI models and LLM-powered features that enhance code analysis. Your work will involve building data pipelines and collaborating with teams to translate prototypes into impactful products.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Education
Work Experience
approx. 4 - 6 years
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
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Flexible work policy
Informal Culture
- •Dynamic work culture
Learning & Development
- •Continuous education support
Social Impact
- •Diversity, Equity, and Inclusion commitment
About the Company
Sonar
Industry
IT
Description
Sonar helps prevent code quality and security issues, enhancing developer productivity with AI-driven tools.
- Sonar
Senior Software Engineer (Python)(m/w/x)
Full-timeRemoteSeniorGenf - Sonar
Senior Software Engineer (Python)(m/w/x)
Full-timeRemoteSeniorBochum, Genf - Sonar
Technical AI Product Manager(m/w/x)
Full-timeWith HomeofficeSeniorGenf - Sonar
JavaScript/TypeScript Software Engineer - Static Code Analysis(m/w/x)
Full-timeWith HomeofficeExperiencedGenf, Bochum - Sonar
Forward Deployed Engineer, ML(m/w/x)
Full-timeRemoteExperiencedGenf