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Sonar
26d ago

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

Bochum
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Description

As a Machine Learning Scientist, you will leverage cutting-edge AI techniques to enhance code analysis, develop advanced models, and collaborate with teams to turn prototypes into impactful products that help developers write better code.

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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

Education

Master's degree

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
  • Document and communicate technical concepts to stakeholders

Tools & Technologies

PythonPyTorchTensorFlowHugging FaceAWS

Languages

EnglishBusiness Fluent

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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