Stellenbezeichnung: 3D Machine Learning Scientist (m/w/d)
Firma: exocad GmbH
Arbeitsort / Location: Darmstadt, Hessen
Job Beschreibung: To strengthen our exocad ML/AI team in Darmstadt we are looking for you as
3D Machine Learning Scientist (m/w/d)
We are seeking a talented and driven individual to join our team as a 3D Machine Learning Scientist. In this role, you will have the exciting opportunity to contribute to the advancement of our cutting-edge dental software solutions. Your primary responsibility will be to improve existing 3D machine learning models by adapting and training them, making crucial decisions about data collection and labeling. Additionally, you will play a vital role in designing novel machine learning algorithms to tackle real-world problems in the dental industry.
- Help improve existing 3D machine learning models. This entails:
- Adapting and training models
- Making decisions about data collection and labelling
- Design novel machine learning algorithms to solve real-world problems
- Build data pre- and post-processing pipelines for the machine learning models
- Optimize test-time ML pipelines for speed and memory usage
- Build processes to validate performance and robustness of the test-time ML pipelines
- A background in Computer Graphics / Computer Vision / Machine Learning
- Extensive experience in Python and the following libraries:
- PyTorch
- Graphics processing libraries such as trimesh, pymeslab, open3d, libigl
- Standard data processing libraries such as numpy, opencv, scikit, scipy
- The ability to work on cutting-edge research projects, while having a product mindset
- Knowledge about the most common neural network architectures such as AE, VAE, MLP, CNN, transformer
- Some knowledge about 3D / geometric machine learning architectures
- Some knowledge about generative AI
Nice to have …
- Some experience with C++
- Some experience with other ML frameworks, such as TensorFlow
- Some experience with parallel computing / code optimization
- Some experience developing mathematical optimization algorithms
- Some experience in cloud computing / deployment including AWS, Docker
- Experience in bringing ML models to production (MLOps)
- Exciting and varied activities in a dynamic and growth-oriented software company
- Positive working atmosphere that promotes both individual freedom and responsibility
- Strong team spirit and very good working atmosphere
- Modern offices and workstations, working with the latest technologies
- Flexible working hours
- Hybrid work, Monday and Friday home office possible
- Training opportunities
- Company events
- Sports opportunities and work-life balance
- Free drinks, fruit and snacks / Canteen with own cook
- Good transport connections
- JobTicket/JobBike
Gehalts Budget:
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