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Machine Learning/C++ Engineer (3D Graphics & Computational Geometry)

Straumann Group -
Berlin

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Doktorat
Informatik
Angewandte Mathematik
Master
Bachelor
Medizinische Bildverarbeitung

Vollständige Stellenbeschreibung

At Straumann Group we’re on an exciting journey of growth, innovation, and impact - driven by our mission to improve oral health and transform millions of lives worldwide. United by purpose, we bring our best selves to work every day, embracing a high-performance, player-learner culture that inspires collaboration, curiosity, and ambition. Here, you’ll have the opportunity to take charge of your own career, harnessing your skills, passion, and enthusiasm for learning to continually grow and progress. Together, we’re not just shaping brighter smiles, we’re unlocking the potential of people everywhere, including our own.

Straumann/ClearCorrect is seeking a Machine Learning Engineer with strong expertise in 3D graphics and computational geometry and with hands-on C++ experience, to join our innovative team. The role focuses on developing advanced algorithms and automation pipelines for dental applications, including teeth alignment, segmentation, and material reconstruction.

Vacancy open for Madrid or Berlin.

Key Responsibilities

Design and implement ML models for automating and processing 3D data in orthodontic treatment.
Integrate ML models into existing C++ code base
Develop algorithms for teeth segmentation in 3D scans and imaging data.
Work on material reconstruction of teeth for realistic visualization and simulation.
Collaborate with domain experts (orthodontists, clinical specialists and biomechanical engineers) to refine requirements and validate solutions.
Optimize computational geometry workflows for efficiency and accuracy.
Integrate solutions into production-ready pipelines and software tools.
Stay updated with the latest research in ML, 3D graphics, and medical imaging.

Your Profile - Qualifications

Bachelor’s/Master’s/PhD in Computer Science, Applied Mathematics, Engineering, or related field.
Strong background in machine learning, deep learning.
Proven hands-on experience with code development in C++
Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
Proven experience with 3D graphics, computational geometry (meshes, point clouds, surface reconstruction) or computer vision
Experience with medical imaging data (CT, CBCT, intraoral scans) is a plus.

Preferred Skills

Familiarity with GANs, diffusion models, or neural rendering for material reconstruction.
Familiarity with biomedical applications.
Strong problem-solving skills and ability to work in interdisciplinary teams.
Excellent communication and documentation abilities.

What We Offer

Opportunity to work on cutting-edge applications in digital dentistry and orthodontics.
Collaborative environment with experts in ML, graphics, and healthcare.
Competitive salary and benefits package.
Career growth in a rapidly evolving field.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Jetzt bewerben

Erweiterte Suche

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Ich möchte aktuelle Job-E-Mails für Stellen als phd engineering in berlin erhalten

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