Machine Learning Platform Engineer at Pearl AI

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 Platform Engineer with at least 5 years of industry experience. You will be responsible for building and maintaining many of the core applications that power Pearl. You will be working to advance Pearl’s machine learning capabilities in both 2-D and 3-D. You will be working to build and maintain the machine learning infrastructure which supports Pearl's machine learning efforts. This role requires familiarity with AWS and Python. The ideal candidate is a practical full stack engineer with experience or interest in machine learning.

• Design, develop, and maintain new features and improvements for Pearl’s existing Machine Learning applications
• Interface with the Machine Learning and Product teams to design and build new applications which serve Pearl’s core product set
• API development (Node/Express/Serverless)
• Web-based applications (React/Vue)
• Work with big data for these Machine Learning applications and write optimized queries for the same
• Work with the Machine Learning team to define and enforce data collection standards
• Work with Engineering to improve and maintain a rapidly growing datastore
• Perpetually work to identify and improve usability in all of Pearl’s applications
  

What You’ll Need to Succeed

• B.S., M.S. or Ph.D. degree in Computer Science or a related field or equivalent work experience
• 5+ years experience in building automation tools, preferably for Machine Learning applications
• Fluency in JavaScript or Python and proficiency with Linux
• Proven proficiency with Docker
• Knowledge of SQL and the ability to write efficient, performant queries
• 3+ years of experience with AWS
• Experience with open source frameworks like Tensorflow and PyTorch
• 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 CPU/GPU optimization
• Experience with Kubernetes
  

What We Offer

• Competitive Benefit and Compensation Offerings
• Ongoing Training and Development Opportunities
• Unaccrued, Flexible PTO
• Remote Work