Remote Senior Machine Learning & Computer Vision Engineer

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Description:

  • Dandy is transforming the dental industry by integrating and simplifying every function of dental practices through technology.
  • The company has built a leading digital-first custom dental appliance manufacturer and is expanding its Machine Learning & Computer Vision team.
  • The team will enhance Dandy's 3D dental platform and automate human-driven processes in manufacturing.
  • Responsibilities include building computer vision models to extract structure from unstructured 3D scans and researching state-of-the-art methods for 3D generative AI tasks.
  • The role involves collaborating with product and research teams to identify improvement opportunities and working with massive datasets to develop and fine-tune models.
  • The engineer will develop evaluation methods to establish confidence in datasets and models and implement best practices for MLOps pipelines.
  • The position requires close collaboration with product owners to deliver value quickly to customers.

Requirements:

  • Candidates must have 4+ years of experience, with at least 3 years in machine learning.
  • Extensive experience in Python is required.
  • Experience with 2D deep learning is necessary.
  • Candidates should have experience in 3D geometric computer vision.
  • Experience with 3D deep learning is preferred.
  • Proficiency in Pytorch is required.
  • Candidates must have immaculate attention to detail and take pride in delivering excellent code and results.

Benefits:

  • Dandy offers a wide range of best-in-class, comprehensive, and inclusive employee benefits.
  • Benefits include healthcare, dental, parental planning, mental health support, a 401(k) plan, and paid time off.
  • The company is committed to building a diverse and inclusive culture and complies with the Americans with Disabilities Act (ADA).
Apply now
Please, let Dandy know you found this job on RemoteYeah . This helps us grow 🌱.
About the job
Posted on
Job type
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$ 210,000 - 232,500 USD / year
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