Full-Time

Senior ML Engineer

Deep Learning

Posted on 7/19/2023

VideaHealth

VideaHealth

51-200 employees

FDA-cleared AI dental diagnostic platform

Senior

Remote in USA

Required Skills
Python
Keras
Pytorch
Data Analysis
Requirements
  • M.S. or PhD in Computer Science or related field
  • Minimum of 4 years of hands-on development building deep learning and/or data pipelines
  • Experience with at least one deep learning framework (e.g. PyTorch, TF, Keras)
  • Strong software development skills including testing (Python)
  • Experience in reading & implementing technical research papers
  • Strong communication and collaboration skills
  • Proactive, ambitious, and fast learner
Responsibilities
  • Own the design and implementation of infrastructure for reliable and highly performant deep learning and analytics pipelines
  • Focus on the detection and classification of dental conditions from x-ray images
  • Define and execute processes for managing large amounts of data, defining data sampling approaches and performance evaluations
  • Collaborate with researchers, physicians, and regulatory bodies
  • Contribute to building end-to-end highly impactful software medical devices

VideaHealth provides a dental AI platform trusted by DSOs and dentists, utilizing FDA-cleared AI algorithms to enhance diagnostic accuracy and treatment plan values. The platform is rooted in AI research from Harvard and MIT, and is backed by leading venture capital firms.

Company Stage

Series A

Total Funding

$27.5M

Headquarters

Boston, Massachusetts

Founded

2018

Growth & Insights
Headcount

6 month growth

3%

1 year growth

2%

2 year growth

185%

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

INACTIVE