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Senior ML Engineer
Deep Learning
Confirmed live in the last 24 hours
Locations
Remote • Dorchester, Boston, MA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Computer Vision
Data Analysis
Git
Keras
Pytorch
Python
Requirements
  • M.S. or PhD in Computer Science or related field
  • Minimum of 3 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
  • Proven track-record of high quality software development (e.g. on GitHub)
  • Experience in working with medical images or related Computer Vision problems
  • Experience in Data Analysis (e.g. statistics, performance metrics)
  • Experience working with cloud based platforms / providers (e.g. AWS)
  • Leadership/Mentorship experience
VideaHealth

11-50 employees

AI-powered dentistry
Company Overview
Videa is on the mission to improve patient health through the power of AI. By leveraging algorithms, analytics and health data, Videa is unlocking health and economic value across the dental value chain - making dentistry more transparent for dentists, insurers and patients.
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
Company Core Values
  • Move health forward
  • Collaborate
  • Think rigorously
  • Grow
  • Build community