VideaHealth is a cutting-edge AI-powered solution for dentistry, developed by a team of seasoned leaders, engineers, AI scientists, and clinicians spun out of MIT. Our vision is to be the first company to diagnose a billion people globally.
Requirements
- Build strong relationships by being a collaborative and dependable teammate across the software and machine learning teams as well as other key organizational stakeholders.
- Create value by working on the most critical efforts at Videa.
- Champion pragmatism and help the organization on its quest to constantly improve.
- Communicate effectively and efficiently by understanding your audience.
- Collaborate with teammates to design, build, automate testing of and support REST services at the application, identity, data pipeline/storage and machine learning layers.
- Extend existing Data Lake capabilities to store and query petabytes of binary and textual data and the associated metadata, systematically arranged in S3, RDBMS, and NoSQL databases.
- Invent the future of deploying versioned machine learning models at scale.
- Advance our platform’s deployment automation capabilities.
- Enable platform to agilely support complex interactions with our customers’ and partners’ technology.
Benefits
- Competitive pay
- Equity
- Benefits