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

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

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

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

Institut Strumann AG

Medizintechnik

Berlin

  • Art der Beschäftigung: Vollzeit
  • 75.000 € – 104.500 € (von XING geschätzt)
  • Vor Ort
  • Aktiv auf der Suche

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

Über diesen Job

JOB DESCRIPTION

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.


Equal Opportunity and Affirmative Action Employer (US applicants only)

Straumann Group is an equal opportunity employer and will not discriminate against any employee or applicant for employment on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national origin, age, veteran status, or disability unrelated to job requirements. Straumann Group will take affirmative action to ensure that qualified applicants are employed and that employees are treated without regard to their race, age, color, religion, sex, sexual orientation, gender identity, national origin, veteran and disability status. In compliance with U.S. Department of Labor Executive Order 11246, Section 503 of the Rehabilitation Act, and Section 4212 of the Vietnam Era Readjustment Assistance Act, Straumann Group has developed and maintains an affirmative action program and plan.

We comply with the Employee Polygraph Protection Act (EPPA), and Massachusetts law. It is unlawful for private employers to use lie detector tests for pre-employment screening or during employment, except in limited circumstances. An employer who violates this law shall be subject to criminal penalties and civil liability.







Gehalts-Prognose

Unternehmens-Details

company logo

Institut Strumann AG

Medizintechnik

1.001-5.000 Mitarbeitende

Basel, Schweiz

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