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

Align Technology

Berlin

Hybrid

EUR 70.000 - 90.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading technology firm in Berlin is seeking a Senior 3D Machine Learning Scientist to contribute to innovative dental software solutions. The role requires experience in machine learning, particularly in 3D models and Python. Key responsibilities include developing ML models, collaborating with dental professionals, and implementing data pipelines. This position offers a dynamic work environment, flexible hours, and opportunities for professional growth. Candidates should have a solid understanding of computer graphics and relevant ML frameworks.

Leistungen

Flexible working hours
Training opportunities
Free drinks, fruit and snacks

Qualifikationen

  • 5+ years of experience in Python and various relevant libraries.
  • Strong background in computer graphics and machine learning.
  • Experience with 3D/geometric machine learning architectures.

Aufgaben

  • Develop and improve machine learning models for 3D tooth shape generation.
  • Build data pre- and post-processing pipelines.
  • Adapt and train 3D geometric machine learning models.

Kenntnisse

Machine Learning
Python
Computer Graphics
Computer Vision
3D geometric machine learning

Ausbildung

Bachelor's degree in informatics or a similar field

Tools

PyTorch
trimesh
pymeshlab
open3d
numpy
opencv
scikit
scipy
Jobbeschreibung

About this opportunity

To strengthen our exocad ML / AI team in Darmstadt we are looking for you as Senior 3D Machine Learning Scientist (m / w / d). Start date : 01.09.2024 or later. We are seeking a talented and driven individual to join our team as a Senior 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.

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 our 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 a similar field.
  • Strong background in Computer Graphics, Computer Vision, and 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, and unit testing.
  • Experience with 3D/geometric machine learning architectures.
  • Knowledge of common neural network architectures such as AE, VAE, MLP, CNN, transformer, GAN, diffusion models.
  • Knowledge of generative AI.
  • Ability to work on cutting‑edge research projects while maintaining a product mindset.
Nice to have
  • Some dental knowledge.
  • Experience with C++.
  • Experience with other ML frameworks such as TensorFlow.
  • Experience with parallel computing/code optimization.
  • Experience developing mathematical optimization algorithms.
  • Experience in cloud computing/deployment including AWS and Docker.
What we offer you
  • Exciting and varied activities in a dynamic and growth‑oriented software company.
  • Positive working atmosphere that promotes individual freedom and responsibility.
  • Strong team spirit and very good working atmosphere.
  • Modern offices and workstations, using the latest technologies.
  • Flexible working hours.
  • Hybrid work with 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.
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