Machine Learning Engineer II

3 days ago

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Dandy

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Healthcare Insurance

Dandy is a digital dental laboratory revolutionizing how dental practices scan, order, and collaborate on lab work. Dandy provides innovative technologies like intraoral scanners and digital workflows to thousands of dental practices, enhancing patient care and practice efficiency. The company offers a range of dental services and products, including crowns, dentures, and sleep apnea devices, with a focus on precision and fast turnaround times. Dandy's advanced digital dental technology supports real-time communication and design approvals, enabling dental professionals to deliver consistent, high-quality restorations and improve patient experiences.

501 - 1000 employees

⚕️ Healthcare Insurance

📋 Description

• Build machine learning models to extract structure from unstructured, information-dense 3D scans as well as other sensory data in dentistry • Research SOTA methods for developing models to accomplish 3D generative AI tasks as well as conventional computer vision tasks. • Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines • Work with massive datasets to develop both generic models as well as fine tune models for specific applications • Develop evaluation methods which allow us to establish confidence in our datasets and models • Implement best practices for our MLOps pipelines • Work closely with product owners on a feature focused team to deliver value quickly to Dandy’s customers

🎯 Requirements

• 2+ years of experience in Machine Learning, or new PhD graduate • Experience in Python • Experience with either PyTorch or Tensorflow • Have immaculate attention to detail and take pride in delivering excellent code and results • Masters or PhD in related field • Experience in SOTA 2D deep learning and/or experience with 3D deep learning is a plus • Experience with 3D geometric Computer Vision is a plus

🏖️ Benefits

• Healthcare • Dental • Mental health support • Parental planning resources • Retirement savings options • Generous paid time off