Machine Learning & AI (2D&3D)
Working Student, f/m/d
About AI Phase
AI Phase is a Munich-based IT consultancy specializing in the development of end-to-end AI solutions - from vision and strategy to implementation and maintenance. Our expertise ranges from generative AI and agent systems to computer vision and cloud architectures. What makes us special is our entrepreneurial thinking, combined with technical excellence. Our aim is to design and develop AI solutions at the highest technological level with measurable added value for SMEs, the public sector and industry.
About the Role
We are developing a robust 2D/3D quality inspection pipeline with tolerance handling for the automotive industry (German OEM involved). So far, we have developed a user interface and rule-based inspection algorithms serving as the baseline of our 2D/3D quality inspection pipeline. Now, we need to optimize our algorithms, implement additional features, selectively integrate AI components and keep testing, testing, testing…
-
Your Tasks:
- Research and test different ML-strategies
- Prototype unsupervised methods to reduce labeling needs
- Evaluate pretrained point-cloud anomaly detection models (e.g., PointCore)
- Evaluate pretrained 2D-image anomaly detection models
- Design dataset strategies combining in-house and synthetic data for fine-tuning efforts
- Integrate useful AI models or third-party software into the pipeline
-
Must Haves:
- Enrolled in ≥5th semester Bachelor or (any semester) Master in Data Science, Computer Science, or similar technical degree
- Strong coding skills (preferably Python)
- Experience with PyTorch or TensorFlow, and scikit-learn
- Graph networks and overall graph theory knowledge
- Living in Munich as we will have to test in person
- At least one more semester to go in your studies
- Enough time to work 20 hours a week
- English is a must, German nice to have
- You can start working around the beginning of September
-
Nice to Haves:
- Knowledge of deep learning in the image-/pointcloud processing domain
- Computational geometry as a big plus
- Previous relevant working student or internship experience
- Experience collaborating in cross-functional teams
Further Information & How to Apply
- You will receive a competitive salary
- Upon project success, you will receive a project bonus
- You will work in an interdisciplinary team with data scientists, machine learning experts, and frontend-/backend coders (around six colleagues)
- You get to choose from a variety of multimodal tasks
- High likelihood of contract extension upon strong performance
- Working mode: remote possible; one day per week in-office required (details during interview)
- Please upload: Transcript of Records, updated CV, and (optional but beneficial) letter(s) of recommendation from past work stations
Send us your data via the form—we reply quickly.
