Senior 3D Machine Learning Scientist (m / w / d)

About this opportunity

Senior 3D Machine Learning Scientist (m / w / d) – Darmstadt. Start date: 01.09.2024 or later.

We are seeking a talented and driven individual to join our team. In this role, you will 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, and you will make crucial decisions about data collection and labeling. You will also design novel machine learning algorithms to tackle real-world problems in the dental industry.

Responsibilities

• Develop and improve machine learning models for 3D tooth shape generation.
• Build data pre- and post-processing pipelines.
• Adapt, implement and train 3D geometric machine learning models.
• Work on numerical optimization algorithms to complement the ML models.
• Work closely with dentists and dental technicians to build domain knowledge into the algorithms.
• Optimize test-time ML pipelines for speed and memory usage.
• Build processes to validate performance and robustness of the test-time ML pipelines.

Qualifications

• Bachelor’s degree in informatics or similar education.
• Strong background in Computer Graphics / Computer Vision / Machine Learning.
• 5+ years of experience in Python and the following libraries:
  • PyTorch
  • 3D geometry processing libraries such as trimesh, pymeshlab, open3d, libigl
  • Standard data processing libraries such as numpy, opencv, scikit, scipy
• Profound knowledge of CI / CD, DevOps, MLOps, Unit Tests.
• Experience with 3D / geometric machine learning architectures.
• Knowledge about the most common neural network architectures such as AE, VAE, MLP, CNN, transformer, GAN, diffusion model.
• Knowledge about generative AI.
• Ability to work on cutting-edge research projects while maintaining a product mindset.

Nice to have

• Some dental knowledge.
• 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.

What we offer

• 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 is possible.
• Training opportunities and company events.
• Sports opportunities and work-life balance.
• Free drinks, fruit and snacks / canteen with own cook.
• Good transport connections (JobTicket / JobBike).