Skip to content

Machine Learning Working Student (m/w/d)

Jetzt bewerben
Gini logo
Neu

Machine Learning Working Student (m/w/d)

vor einem TagTechWerkstudent
Hybrid
Englisch

Erforderliche Skills

Computer VisionLinuxNeural NetworksData AnalysisPythonLarge Language ModelsGPUModel EvaluationPyTorchMachine Learning

Stellenbeschreibung

To support the continuous development, evaluation, and improvement of our AI models and data pipelines, we are looking for a motivated Working Student (m/f/d) to join our team. In this role, you’ll assist with research, experimentation, and data preparation tasks that contribute directly to improving our AI models and exploring new AI-driven product features.


Your playing field ⚽️

  • You support model training, fine-tuning, and evaluation for document-understanding tasks
  • You perform exploratory data analysis and quality checks on annotated datasets
  • You implement or extend Python utilities for preprocessing, data conversion, and evaluation
  • You run experiments on our internal GPU infrastructure under supervision
  • You summarize experiment results and contribute to decision-making for the next iteration steps
  • You collaborate closely with ML engineers and the annotation lead to ensure data consistency and effective model feedback loops
  • You maintain internal documentation for reproducibility and compliance


Skills to be successful 💪🏽


  • You are currently studying for your Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field
  • You have completed courses in Machine Learning or Neural Networks
  • You understand core ML concepts and model evaluation methods
  • You have good programming skills in Python and experience with Linux/Unix systems
  • You are familiar and have hands-on experience with ML frameworks such as PyTorch
  • You have an understanding and hands-on experience with (Vision)Large language models architecture and concept
  • You think analytically, pay attention to details, and are curious about new technologies
  • You communicate clearly in English (our working language)
  • You are reliable, trustworthy, and enjoy working in a team


Your perks

🏢 Flexible working: Minimum 1 day/week in the office, otherwise home office possible

⏰ Flexible hours: Work in the way that fits you best

🌴 Vacation: 30 days

🍽️ Food: €3 subsidy per working day in our canteen

🚗 Mobility: Free underground parking

💻 Equipment: Apple devices & ergonomic setup

🎉 Team & Events: Regular team & company events

💬 Culture: Open feedback culture with real team spirit (check out our Kununu & Glassdoor!)


Sounds like the right challenge for you?

Then get in touch with us now 🚀! 🫵🏼


Julia Partusch-Asik

HR Manager & Dog lover 🐶

[email protected]

Ähnliche Stellen