Senior Machine Learning Engineer (Computer Vision)

Sirona Medical

Sirona Medical

Software Engineering
San Francisco, CA, USA
Posted on Tuesday, May 2, 2023
At Sirona Medical we’re building tools for physicians to work as fast as they can think. Many billions of patient images are acquired each year in the U.S., and nearly all of them are reviewed and diagnosed by a radiologist. In fact, 80% of healthcare data flows through radiology IT systems, and radiologists are among healthcare’s most tech-savvy and influential physicians. But they desperately need better, user-friendly software that cuts clicks and optimizes diagnostic time. Sirona is building a modern cloud-native and AI-powered operating system (“RadOS”) that unifies radiology IT onto a single, streamlined workspace. We’re a San Francisco, CA-based software company (with employees working from all over the world) founded on a deep understanding of both the practice and business of radiology.
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Senior Machine Learning Engineers (CV) at Sirona will be responsible for creating and implementing cutting-edge CV systems to solve challenges that radiologists face. They will design, improve and scale up our CV models, and work with product managers, engineers and radiologists to deliver best-in-class AI-powered products that assist radiologists review and diagnose medical images. Successful candidates will have opportunities to leverage their expertise in machine learning and computer vision to transform medical images into actionable insights with high clinical impact.
  • Develop cutting-edge computer vision and image understanding models to extract information from medical images
  • Leverage deep learning in the context of a variety of medical data (image and text) to create solutions for image segmentation, registration, feature extraction, detection, classification, semantic understanding and inference
  • Work with product managers, engineers and clinical experts to design and deploy machine learning and CV solutions
  • Deploy a computationally optimized system and iteratively improve performance
  • Conduct applied research and translate innovative ideas to prototype software and solutions


  • Have 3+ years of post graduate work experience
  • Preferred advanced degree in Computer Science, Biomedical Engineering, Electrical Engineering, Data Science, Medical Informatics, Physics, Mathematics or related field
  • Experience designing, training, and validating neural network models with deep learning frameworks, such as Pytorch or TensorFlow
  • Experience developing and deploying machine learning or CV models in a commercial or academic setting
  • Extensive programming skills, with a focus on Python
  • Preferred experience applying machine learning to health/medical data (e.g., DICOM)


  • Stock
  • Unlimited PTO
  • Medical, dental, vision insurance
  • Life insurance
  • Maternity and Paternity Leave
  • 401K matching
  • Apple equipment
  • Sponsorship for conferences, continuing education, etc
  • Dynamic engineering role–technological innovation is at the core of our business
  • Growth and learning opportunities from a startup environment include working closely with an international team of scientists, engineers, platform architects, programmers and professionals
  • Do something morally benevolent!

The annual US base salary range for this full-time position is $155,000 - $180,000 + equity + benefits. Pay scale is flexible depending on experience. Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, relevant education and training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.