Adra
Driving dental clinic revenue by finding more cavities
Deep Learning Developer (Computer Vision)
About the role
We’re looking for a deep learning developer to build and refine our dental x-ray diagnosis algorithms and bring them to production as our product matures. You will also be making important decisions for the data & algorithm team and shaping the culture of a small, energetic startup in an emerging field.
Requirements:
- 2+ years of experience with algorithms for object detection, segmentation, or pose estimation
- A solid grasp of the mechanisms behind these algorithms
- Proficiency in Python and a deep learning framework (PyTorch, Tensorflow, etc.)
- Able to write clean and readable code
- An overall nice person
Bonus:
- Experience with MLOps
- Familiar with regulatory approvals of medical devices and applications
- Experience with databases and cloud hosting services
- Able to have some overlap with UTC+8 work hours
What’s unique about this role:
- Opportunity to take on a leadership role as we grow
- Employee stock options on top of a competitive salary
- Completely remote
We’re a small team so we care a lot about culture fit. Help us to get to know you by telling us your favorite or least favorite movie and why in your application.
About the interview
- Introductions
- Get to know your experiences, technical expertise, and personality
- Technical assessment (optional)
- Technical presentation to the machine learning team
- either, the solution to the assessment
- or, a relevant previous project
- Meeting the founders
- Learn more about the culture, business, and strategy moving forward
- If all goes well, you will receive an offer within 1 day
Why you should join Adra
We help dental clinics find cavities in dental x-rays faster and more accurately, so they can book more procedures and increase their revenue. Our software serves as a diagnostic aid to the dentists and a second opinion for patients. This increases dentist’s diagnosis accuracy by catching issues that a dentist might miss, and then presents the ailments to patients in an easy-to-understand manner, increasing patient conversion rate and clinic revenue.
