Machine Learning Platform Engineer
2 months ago
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
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