Machine Learning Working Student (m/f/d)
Maddox AI GmbH Tübingen, Baden-Württemberg, Germany
Software Development · 11-50 employees
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About the role
You will train diffusion models for synthetic defect generation and apply foundation models to anomaly detection tasks. Additionally, you will optimize models for edge devices and collaborate with engineers to integrate solutions into production lines.
What they look for
Requirements
Candidates must be pursuing or have completed a Master's degree in Computer Science or Machine Learning. Proficiency in Python, PyTorch, and Git, along with practical experience in computer vision, is required.
Benefits
Full description
Your mission
We 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 Mission
- Train diffusion models that generate realistic synthetic defects
- Apply foundation models (SAM, DINO, VLMs) to few-shot anomaly detection
- Make models fast on edge devices: quantization, TensorRT, distillation
- Prototype solutions for special cases like OCR and bring them to production
- Work with our Forward Deployed Engineers to get models running fast and resiliently integrated on real production lines
Your Profile
- You completed or currently pursue a Master's degree in a relevant field (i.e. Computer Science or Machine Learning)
- You are fluent in English
- You have developed good coding practices using Python, PyTorch, and Git in previous projects
- You have collected industry or research experience in computer vision
- You have showcased the ability to work both independently and collaboratively
- You have a strong sense of ownership and are able to communicate your thought process and decision making clearly
Why 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 work
- Professional development and growth
- A dynamic and cooperative team
Regular team-building events
We 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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