3D Machine Learning Scientist

3D Machine Learning Scientist

Job Description:

To strengthen our ML/AI team in Darmstadt, we are looking for a talented and driven individual to join us as a 3D Machine Learning Scientist. In this role, you will have the exciting opportunity to contribute to the advancement of cutting-edge dental software solutions. Your primary responsibility will be to enhance existing 3D machine learning models by adapting and training them, making critical decisions about data collection and labeling. Additionally, you will play a vital role in designing innovative machine learning algorithms to address real-world challenges in the dental industry.

IT Languages:

• Python
• PyTorch
• Numpy
• OpenCV
• Scikit-learn
• Scipy

As a 3D Machine Learning Scientist, your responsibilities will include::

Improving existing 3D machine learning models by adapting and training them, Making crucial decisions regarding data collection and labeling, Designing novel machine learning algorithms to solve real-world problems, Building data pre- and post-processing pipelines for machine learning models, Optimizing test-time ML pipelines for speed and memory efficiency, Establishing processes to validate the performance and robustness of test-time ML pipelines

Spoken Languages:

• English, German

Skillset:

• Machine Learning
• Computer Vision
• Data Processing
• Algorithm Design
• 3D Modeling
• MLOps

Qualifications:

• A background in Computer Graphics
• Computer Vision
• or Machine Learning (minimum Bachelor's degree)
• At least four years of relevant work experience
• Extensive experience in Python and libraries such as PyTorch
• trimesh
• pymeslab
• open3d
• and libigl
• Proficiency in standard data processing libraries such as numpy
• opencv
• scikit-learn
• and scipy
• Ability to work on cutting-edge research projects with a product-oriented mindset
• Knowledge of common neural network architectures such as AE
• VAE
• MLP
• CNN
• and transformer
• Experience in deploying machine learning models to production (MLOps)
• Familiarity with 3D or geometric machine learning architectures
• Some knowledge of generative AI

Years of Experience:

4

Location:

Darmstadt, EU

Job Benefits:

• Company pension
• Flexible working hours
• Company laptop
• Fitness programs
• Incentives & events
• Parking space
• Employee discounts
• Cafeteria
• Company medical officer
• Stock options
• Home office
• Public transport ticket
• Terrace
• Barrier-free access
• Good transport connections

Working Conditions:

Full Time, Remote possible

Employment Type:

Permanent contract

Company Culture:

• Innovative
• collaborative
• and focused on continuous improvement in a supportive environment.

Opportunities For Advancement:

• Potential for career growth and advancement into leadership roles based on performance.

visa Sponsorship:

Available