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MMaddox AI GmbH

Machine Learning Working Student (m/f/d)

United StatesListed 5h ago

  • On-site
  • Internship
  • BS
  • MS
  • PhD

About this role

Your missionWe are seeking a passionate Machine Learning Working Student to join our team. You will apply cutting-edge vision methods to solve real-world problems.Your MissionTrain diffusion models that generate realistic synthetic defectsApply foundation models (SAM, DINO, VLMs) to few-shot anomaly detectionMake models fast on edge devices: quantization, TensorRT, distillationPrototype solutions for special cases like OCR and bring them to productionWork with our Forward Deployed Engineers to get models running fast and resiliently integrated on real production lines Your ProfileYou completed or currently pursue a Master's degree in a relevant field (i.e. Computer Science or Machine Learning)You are fluent in EnglishYou have developed good coding practices using Python, PyTorch, and Git in previous projectsYou have collected industry or research experience in computer visionYou have showcased the ability to work both independently and collaborativelyYou have a strong sense of ownership and are able to communicate your thought process and decision making clearlyWhy Us?We foster a collaborative, growth-oriented environment with flat hierarchies and open communication. At Maddox AI, you can expect:Real-world impact on your workProfessional development and growthA dynamic and cooperative teamRegular team-building eventsWe are committed to diversity and inclusion. All qualified applicants are encouraged to apply, regardless of gender, nationality, ethnicity, disability, sexual orientation, or identity.

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Location
United States
Work model
On-site
Role type
Internship
Degrees
BS · MS · PhD
Family
Machine Learning Engineer
Listed
5h · Nov 2, 2026
M

Maddox AI GmbH

Seed · 11–50 employees

  • AI & Machine Learning
  • Industrial & Manufacturing
  • Automotive & Mobility

Maddox AI GmbH develops AI-based machine vision software and integrated hardware for automated visual quality control. Its platform helps manufacturers train, deploy, and monitor inspection models, reduce false rejects and scrap, and improve production efficiency.

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