3D Machine Learning Scientist

3D Machine Learning Scientist

Job Description:

To strengthen our ML/AI team in Darmstadt, we are looking for you as a 3D Machine Learning Scientist. Start date: October 1, 2024, or later. 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.

IT Languages:

• Python
• PyTorch

As a 3D Machine Learning Scientist, you will be responsible for several critical tasks that will drive innovation in the dental sector.:

Improve existing 3D machine learning models by adapting and training them, along with making decisions about data collection and labeling, Design novel machine learning algorithms to solve real-world challenges in the dental industry, Build data pre- and post-processing pipelines for machine learning models, Optimize test-time ML pipelines for improved speed and memory usage, Establish 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
• Model Deployment

Qualifications:

• A background in Computer Graphics
• Computer Vision
• or Machine Learning with a minimum of a Bachelor’s degree
• At least 4 years of relevant work experience
• Extensive experience in Python and libraries such as PyTorch
• trimesh
• pymeslab
• open3d
• and libigl
• Proficient in standard data processing libraries such as numpy
• opencv
• scikit-learn
• and scipy
• Ability to work on cutting-edge research projects while maintaining a product-oriented mindset
• Knowledge of common neural network architectures such as Autoencoders
• Variational Autoencoders
• Multi-Layer Perceptrons
• Convolutional Neural Networks
• and Transformers
• Experience in deploying machine learning models to production environments (MLOps)
• Familiarity with 3D and geometric machine learning architectures
• Some knowledge of generative AI

Years of Experience:

4

Location:

Darmstadt, Europe

Job Benefits:

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

Working Conditions:

Full Time, Hybrid

Employment Type:

Permanent

Company Culture:

• Innovative and collaborative environment focused on technological advancement and employee well-being.

Opportunities For Advancement:

• Potential for career growth into senior research roles or project leadership positions.

Visa Sponsorship:

Available