Deine Karriere als 3D Machine Learning Scientist (m/w/d) bei exocad gmbh in Darmstadt wartet auf dich

exocad gmbh

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.

In this role, you will …

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

In this role, you’ll need …

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)

What we offer you …

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