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SOSonar

Machine Learning Scientist - AI for Code(m/w/x)

Genf
Full-timeWith Home OfficeSenior
AI/ML
Data Science

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

  • EnglishBusiness 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
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