Senior Software Engineer
Full Stack
Confirmed live in the last 24 hours
VideaHealth

51-200 employees

AI-powered dental diagnostic and treatment platform
Company Overview
VideaHealth, a Boston-based company, leverages artificial intelligence to enhance dental diagnostics and treatment plans, with its platform rooted in AI research from Harvard and MIT. The company's FDA-cleared AI platform, backed by the largest and most diverse data set in the market, has proven to increase diagnostic accuracy and improve case acceptance rates, making it a trusted partner for leading Dental Service Organizations (DSOs). Their collaboration with dental providers, as stated on their website, allows for greater transparency and elevated patient care through the use of advanced AI technology.

Company Stage

Series A

Total Funding

$27.5M

Founded

2018

Headquarters

Boston, Massachusetts

Growth & Insights
Headcount

6 month growth

-2%

1 year growth

5%

2 year growth

230%
Locations
Cambridge, MA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Microsoft Azure
Python
NoSQL
Node.js
SQL
AWS
REST APIs
Google Cloud Platform
CategoriesNew
Backend Engineering
Full-Stack Engineering
Software Engineering
Requirements
  • Bachelor's degree in Computer Science or related field
  • At least 4 years of experience building complex (secure, reliable, distributed and scalable) SaaS systems on AWS, Azure or GCP
  • At least 4 years of experience Node.js or Python backend services
  • Hands-on experience in building well-crafted APIs
  • Experience with complex SQL/NoSQL database designs
  • Passion to positively impact people's health
Responsibilities
  • Build strong relationships with software and machine learning teams
  • Work on critical efforts at Videa
  • Champion pragmatism and help improve the organization
  • Communicate effectively and efficiently
  • Design, build, automate testing, and support REST services
  • Extend existing Data Lake capabilities
  • Invent the future of deploying versioned machine learning models
  • Advance platform's deployment automation capabilities
  • Enable platform to support complex interactions with customers' and partners' technology