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Senior Machine Learning Scientist
Posted on 1/13/2023
Remote • Dorchester, Boston, MA, USA
Experience Level
Desired Skills
Computer Vision
Natural Language Processing (NLP)
  • 6+ years of commercial experience working on machine learning projects
  • Expertise working with SOTA (ViT, CNN, FCN etc.) and novel DL architectures in Computer Vision
  • Strong Experience in at least two of the following CV tasks - classification, object detection, semantic segmentation, instance segmentation, panoptic segmentation
  • Experience with NLP
  • PhD in machine learning, computer science, statistics, mathematics or similar field
  • A publication record in leading AI/ML journals (e.g. CVPR, ICML, MICCAI) and/or patent portfolio
  • Strong experience in ML lifecycle components - data engineering, labeling, model training, validation and deployment
  • Demonstrable experience with developing models and techniques that have enjoyed industry success
  • Passionate about making a lasting positive difference in dental/healthcare
  • Competitive Compensation and Equity
  • Fully Remote Working Policy for US Based Employees
  • 401k plans with a matching program
  • Medical, Dental and Vision coverage: 99% employee premium covered, 75% dependent premium covered
  • Life and AD+D Insurance
  • 8 weeks Paid Parental Leave
  • Optional HSA with Employer contribution
  • 15 Day PTO policies and company paid holidays
  • Annual Learning and Development Stipend
  • Work from Home Stipend
  • Design novel architectures and techniques to solidify Overjet's position as the market leading Dental AI vendor
  • Demonstrate AI thought leadership via publications in reputable AI and Dental publications and talks at leading conferences
  • Propose annotation strategies designed for optimal model performance
  • Lead and mentor junior machine learning engineers and raise the ML bar across Overjet
  • Work cross-functionally across diverse stakeholders, including product managers, TPMs, customer success, engineering and clinicians
Desired Qualifications
  • Experience with creating FDA approved computer vision based products
  • Experience with medical imaging
  • Experience building models with multi-modal input such as images and text

51-200 employees