Internship

Artificial Intelligence / Data Science – Internship

Confirmed live in the last 24 hours

VideaHealth

VideaHealth

51-200 employees

AI-powered dental diagnostic platform


Remote in USA

Required Skills
Python
Data Science
Data Structures & Algorithms
Requirements
  • Enrolled in or recently completed a M.S. or PhD program in Computer Science or related field
  • Hands-on experience in building deep learning and/or data pipelines
  • Familiarity with Python
  • Curiosity to learn and take on own project
  • Strong communication skills
Responsibilities
  • Work closely with the AI team on a well-defined project
  • Develop and implement state-of-the-art algorithms
  • Analyze large datasets
  • Contribute to company culture

VideaHealth is dedicated to advancing dental care through its state-of-the-art AI platform, which is used by dentists and dental service organizations (DSOs) to improve diagnostic accuracy and treatment efficacy. The company's strong research foundation, derived from collaborations with prestigious institutions like Harvard and MIT, coupled with substantial backing from top-tier venture capitalists, positions it as a leader in dental AI technology. Working here provides employees with the opportunity to be at the forefront of healthcare innovation in a supportive and pioneering environment.

Company Stage

Series A

Total Funding

$27.5M

Headquarters

Boston, Massachusetts

Founded

2018

Growth & Insights
Headcount

6 month growth

-3%

1 year growth

0%

2 year growth

234%

Benefits

Fast paced and collaborative work culture in which you can gain experience, grow your technical skills and work on a wide variety of challenges over your time with us

A team led by a VP of Engineering who spent the first half of his career as an engineer who understands what engineers need to thrive and whose mission is for Videa to be the best team you'll ever join.

Competitive pay and equity.

Agile organization where being senior translates to being a mentor and role model for others. We lead by example.

Technical challenges on the leading edge of innovation where software and machine learning