About Pearl
Pearl is shaping the future of dentistry with a suite of AI solutions developed to establish higher standards of quality and care for patients worldwide. Since 2019, our team has engineered FDA-cleared computer vision capabilities for interpretation of 2D and 3D dental imagery — industry-leading capabilities which clinicians, practice owners, labs and insurers use to elevate the efficiency, accuracy and consistency of dental care around the world.
Who We’re Looking For
Pearl is looking for a Machine Learning Scientist with at least 5 years of industry experience. You will be responsible for building and maintaining the machine learning models that power Pearl's products. You will be working on both 2-D and 3-D medical imaging problems alongside a team of like-minded engineers in order to improve the performance of our machine learning pipeline and to prototype and deliver CV-driven solutions. This role requires proficiency with Python, Machine Learning, and Statistics. The ideal candidate is rigorously scientific and a savvy engineer.
- Assess and implement methods from relevant literature utilizing open source Vision/Math tools such as Tensorflow and PyTorch
- Collaborate with cross-functional teams (FullStack, Product) to build products, share learnings, and vice versa
- Build upon existing solutions to optimize for performance, reliability, and scalability
- Write and maintain clean and modular code to deploy in production environment
- Work to iteratively improve core model performance
- Contribute to active research communities through conference/journal publications, meetups, and workshops
What You’ll Need to Succeed
- 5+ years experience in Computer Vision, Machine Learning, Image Analysis
- MS in Computer Vision, Computer Science, Electrical Engineering, Applied Mathematics orPhysics, Machine Learning or a related technical field
- Strong program fluency in Python or C++ and familiar with Linux
- Experience applying Machine Learning to solve Computer Vision problems
- Strong communication skills to effectively collaborate with cross-functional teams including both technical and non-technical team members
- Experience working in medical imaging
- Experience with multimodal data
- Experience with CPU/GPU optimization
- Familiar with AWS ecosystem
- Publications in top-tier journals and conferences
What We Offer
- Competitive Benefit and Compensation Offerings
- Ongoing Training and Development Opportunities
- Unaccrued, Flexible PTO
- Remote Work
*Note, this position is open to remote candidates in the following states or those willing to relocate: AZ, DE, FL, GA, ID, IN, NC, PA, TX, UT, WI