Stellenbeschreibungph3Machine Learning Scientist /h3 pbDepartment: /b Research Development /p pbEmployment Type: /b Full Time /p pbLocation: /b EMEA-Switzerland-HQ /p h3Description /h3 pThis position is full-time based in Zurich. We are building the future of digital dentistry. Align Technology has transformed orthodontics and restorative dentistry through Invisalign, the iTero intraoral scanner, and exocad CAD/CAM products used by clinicians in over 100 countries, backed by data from more than 20 million patients. Our Advanced Technology Development (ATD) team in Switzerland is where breakthrough ideas become real products. /p pAs a ML Scientist, you will develop and explore advanced methods spanning 3D geometry processing, computer graphics, computer vision, and modern machine learning to solve fundamentally new and unsolved challenges. You will invent new ways to simulate, visualize, and predict dental outcomes, turning raw 3D scans and clinical imagery into intelligent, patient-specific experiences. This is applied research with direct product impact: your prototypes become the features millions of patients rely on. /p pThe Advanced Technology Development team operates as Align’s applied research lab. We are a small, high-impact group of scientists and engineers who work 12-18 months ahead of the product roadmap. You will collaborate daily with clinicians, product managers, and engineering teams across our global offices. We value intellectual honesty, rapid experimentation, and shipping research that changes patient outcomes. /p pIf you are a recent graduate with ambition, curiosity, some relevant research work and a desire to make a meaningful impact, we would love to hear from you, even if you don't tick all the boxes of this job description. /p h3Key Responsibilities /h3 ul liDevelop and improve machine learning models as part of the exocad AI Design product. This includes mainly models to analyze segment 3D intraoral scans and models to generate 3D teeth. This entails: ul liBuilding data collection, pre- and post-processing pipelines. /li liAdapting, implementing and training 3D geometric machine learning models. /li /ul /li liWork on numerical optimization and classical 3D geometry processing algorithms to complement the ML models. /li liWork closely with our dentists and dental technicians to build domain knowledge into the algorithms. /li liOptimize test-time ML pipelines for speed and memory usage. /li liBuild processes to validate performance and robustness of the test-time ML pipelines. /li /ul h3Skills, Knowledge Expertise /h3 ul liMaster's degree in computer science or similar education. /li li3+ years of relevant experience /li liSome industry exposure / internships are a big plus. /li liSolid grounding in linear algebra, analytical geometry, probability, and optimization. /li liA strong interest in 3D Geometry Processing / Computer Graphics / Computer Vision / Machine Learning. /li liExperience in Python and some knowledge of the following libraries: ul liPyTorch /li li3D geometry processing libraries such as trimesh, pymeshlab, open3d, libigl /li liStandard data processing libraries such as numpy, opencv, scikit, scipy /li /ul /li liSome knowledge of CI/CD, DevOps, MLOps, Unit Tests. /li liExperience with 3D / geometric machine learning architectures. /li liKnowledge about the most common neural network architectures such as AE, VAE, MLP, CNN, transformer, GAN, diffusion model. /li liThe ability to work on cutting-edge research projects, while having a product mindset. /li /ul /p #J-18808-Ljbffr
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