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Dandy logo
Dandy

Helping dentists achieve more by making the entire lab process digital — and effortless.

Engineering Manager, Machine Learning

Engineering ManagerEngineering ManagerFull TimeRemoteSeniorTeam 501-1,000H1B SponsorCompany SiteLinkedIn

Location

Worldwide

Posted

120 days ago

Salary

$216.8K - $255K / year

Seniority

Senior

Bachelor Degree6 yrs expEnglishPythonPyTorch

Job Description

Engineering Manager, Machine Learning

Dandy

• Lead execution of the ML roadmap, managing a team focused on 3D deep learning and computer vision. • Partner with product, engineering, and research stakeholders to align and execute technical strategy with business goals. • Lead and grow a high-performing team of ML scientists, engineers, and researchers. • Drive the development of computer vision models to extract structure from unstructured, information-dense 3D scans. • Research and implement state-of-the-art methods for developing models to accomplish 3D generative AI tasks as well as conventional computer vision tasks. • Collaborate with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines. • Manage large-scale datasets to develop both generic models as well as fine-tune models for specific applications. • Develop evaluation methods to establish confidence in our datasets and models. • Implement best practices for our MLOps pipelines, ensuring robust and scalable deployment of models.

Job Requirements

  • Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong focus on computer vision or machine learning.
  • Extensive experience in SOTA 2D deep learning and/or experience with 3D deep learning
  • 6+ years (or 5 years + PhD) of industry experience in applied machine learning, with at least 1 year in a leadership or management role.
  • Strong people management skills with a track record of team development, mentorship, and retention.
  • Demonstrated ability to lead cross-functional efforts across product, engineering, research, and operations.
  • Strong coding skills in Python and experience with ML frameworks like PyTorch
  • Experience working with 3D data (point clouds, meshes, depth maps, volumetric data) and 3D ML frameworks is preferred

Benefits

  • healthcare
  • dental
  • mental health support
  • parental planning resources
  • retirement savings options
  • generous paid time off

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