DiscoverStartupsHyperfineJobs at Hyperfine: Explore current Opportunities
Hyperfine company logo
Low-cost, green, point-of-care MRI51-200 Employees
  • B2B
  • Public Stage
    Publicly traded company
  • Top Investors
    This company has received a significant amount of investment from top investors

Jobs at Hyperfine

Hyperfine began from our personal experiences with expensive, inaccessible and complex MRI systems. It evolved further from the knowledge that 4.7 billion people around the world today do not have access to medical imaging. So, we began to ask ourselves, “What if…?” Hyperfine is on a mission to make MRI accessible to every patient regardless of income or resources, anywhere, anytime. Our team is determined to democratize healthcare and help the people we love. Our founder, Jonathan Rothberg, is the inventor of “Next-Gen” DNA sequencing and ultrasound-on-a-chip (Butterfly Network). Hyperfine is part of 4Catalyzer, an accelerator with over $700 Million in funding, 300 scientists and engineers, and offices in Guilford, CT, New York City, and Palo Alto.
Filter by
Team
Location
Type
Operations

Clinical Support Specialist - Midwest

NewPosted 6 days ago

Clinical Support Specialist - Midwest

  • Train hospital staff on the safe and effective use and operation of Hyperfine products within the clinical areas including amending workflow and optimize product value and utilization
  • Provide customized training and support for new operators of the Swoop System and maintain strategic relationships and support post-installation
Engineering

Test Automation Engineer

NewPosted 4 months ago

Test Automation Engineer

  • Design, develop, and maintain automated test frameworks for cloud and device software.
  • Integrate automated tests into CI/CD pipelines to ensure consistent quality and rapid feedback.
Engineering

Senior AI Scientist

NewPosted 1 year ago

Senior AI Scientist

  • Coordinate tasks and goals with other scientists, software engineers, and a clinical team to help develop a new suite of intelligent medical products.
  • Rapidly prototype deep learning models including, but not limited to, classification, detection, segmentation, reconstruction, super-resolution, and denoising; iterate on training models with fast turnaround time.