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Dandy

Staff Machine Learning & Computer Vision Engineer

Reposted 3 Days Ago
New York, NY
Senior level
New York, NY
Senior level
The Staff Machine Learning & Computer Vision Engineer will develop models for 3D scans, evaluate datasets, and implement MLOps best practices for Dandy's manufacturing processes.
The summary above was generated by AI

Dandy is transforming the massive ($200B) but antiquated dental industry. Backed by some of the world's leading venture capital investors, we are on an ambitious mission to integrate and simplify every function of the dental practice through technology. By building the operating system for every dental office in America, Dandy is empowering dentists with technology, innovation, and world-class support to achieve more for their practice, their people, and their patients.

About the Role

In the past 3 years, Dandy has built the leading digital-first custom dental appliance manufacturer. As we go through our next level of scale, Dandy is building a world class Machine Learning & Computer Vision team to enhance our 3D dental platform and automate many of the human-driven processes in our manufacturing today.

Our global, remote team tackles problems involving 3D geometric computer vision, generative deep learning, and SOTA machine learning methods. As a part of this newly created team, you will play a key role in laying the foundation that will drive the team’s success. You will  establish best practices, solve ambiguous data problems that have never been solved before with industry wide impact, and be given the freedom to innovate.

What You'll Do

  • Build Computer Vision models to extract structure from unstructured, information-dense 3D scans

  • 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

What We're Looking For

  • 8+ years experience, 4+ in ML

  • Extensive experience in Python

  • Extensive experience in SOTA 2D deep learning and/or experience with 3D deep learning

  • Experience with 3D geometric Computer Vision

  • Experience with PyTorch

  • Have immaculate attention to detail and take pride in delivering excellent code and results 

  • Masters of PhD in a related field

  • Ability to overlap with US Eastern Standard Time working hours

For full time positions, we offer a wide range of best in class, comprehensive and inclusive employee benefits including healthcare, dental, parental planning, mental health benefits, a 401(k) plan, and paid time off.

Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics.

Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more!

Compensation Range: $232.5K - $258.8K

Top Skills

3D Computer Vision
Deep Learning
Python
PyTorch
HQ

Dandy New York, New York, USA Office

Situated at the intersection of FiDi and Tribeca, our NYC office is a perfect mix of convenience and location. We're steps away from the city's most iconic landmarks, including City Hall, South Street Seaport, and Wall Street, as well as a diverse array of restaurants and all major transit lines.

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