Job
In this role, you will apply advanced machine learning techniques to create realistic synthetic defects and optimize models for deployment on edge devices.
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Job technologies
Your role in the team
- 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.
- 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 quickly and integrated reliably on real production lines.
Our expectations of you
Education
- You completed or are currently pursuing a master's degree in a relevant field (e.g., computer science or machine learning).
Qualifications
- You are fluent in English.
- You have developed good coding practices using Python, PyTorch, and Git in previous projects.
- You have demonstrated 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.
Experience
- You have collected industry or research experience in computer vision.
What we offer
- 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.
Topics you will work on
Job locations
About your employer
Maddox AI GmbH, based in Tübingen, Germany, focuses on automating visual inspection processes in the industry. By utilizing artificial intelligence, the platform helps manufacturers accurately identify defects and develop AI models for quality control. Since its founding in 2018, the company has positioned itself as an innovative startup in the field of industrial quality control.
- Startup
- Onsite
- Industry, Production
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