Overjet is on a mission to improve oral healthcare for all. 

Our cutting-edge artificial intelligence technology encodes dentist-level training and analysis into scalable software tools. Today, our flagship products are used by some of the country’s largest insurance companies, dental support organizations, and dental practices to enable the best patient care. 

All of this is made possible by the industry leading AI technology built by our Machine Learning (ML) team. We’re looking for a Sr Machine Learning Scientist to join us in our journey to build impactful and bleeding edge Dental AI and research. The ideal team member has a winning mix of creative energy, scientific innovation, and a practical mindset that is focused on building technology that is valuable to Overjet customers.  
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You will

    • Develop algorithms and methods for disease detection, classification, and characterization from x-rays 
    • Rapidly build proof-of concept prototypes and show what is possible with our products 
    • Focus on scalability and productionalization of the models 
    • Provide input and set boundary constraints for the machine learning infrastructure needed to scale our products 
    • Listen to the go-to-market team and ensure we are building product that fits demonstrated market needs

 

You are

    • Results oriented - you want to see your work impact the customer  
    • Ingenuous  - you can cleverly set up MVPs that work on the critical KPIs 
    • Endlessly curious  - in an earlier life you annoyed your family with one word: “Why” 
    • An experimentalist who learns by doing - You don’t abstractly wonder what is possible; rather, you rapidly test ideas and learn and iterate from feedback mechanisms

 

You have experience in

    • Prototyping computer vision models (CNNs in particular) - you have built both low and high fidelity concepts
    • Productionalizing CNNs - You don’t stop at the prototype.  You find it equally stimulating to mature the prototype at scale 
    • PhD or MS in Computer Vision, Machine Learning or related technical fields 
    • Knowledge of applied mathematics and numerical optimization

 

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