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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.
Requirements
- 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
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
- Document and communicate technical concepts to stakeholders
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
- Remote and in-office hybrid work
Mentorship & Coaching
- Growth mindset
Learning & Development
- Continuous education
Other Benefits
- Diversity, Equity, and Inclusion
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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.
Requirements
- 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
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
- Document and communicate technical concepts to stakeholders
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
- Remote and in-office hybrid work
Mentorship & Coaching
- Growth mindset
Learning & Development
- Continuous education
Other Benefits
- Diversity, Equity, and Inclusion
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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