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vor 26 Tagen

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

Genf
Vollzeitmit HomeofficeSenior
AI/ML
Data Science

Beschreibung

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.

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Anforderungen

  • •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

Ausbildung

Master-Abschluss

Berufserfahrung

ca. 4 - 6 Jahre

Aufgaben

  • •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 & Technologien

PythonPyTorchTensorFlowHugging FaceAWS

Sprachen

Englisch – verhandlungssicher

Benefits

Flexibles Arbeiten

  • •Flexible work policy

Lockere Unternehmenskultur

  • •Dynamic work culture

Weiterbildungsangebote

  • •Continuous education support

Gemeinnützige Ausrichtung

  • •Diversity, Equity, and Inclusion commitment
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Sonar erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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