Senior Computer Vision Engineer

1 month ago


London, UK, United Kingdom XARlabs Full time

About Us

At XARlabs, our mission is to revolutionize the training of healthcare professionals through immersive mixed reality technologies. Using cutting-edge mixed reality and advanced visualization technologies, our team of engineers and physicians collaborates to create impactful, high-fidelity tools. Join us and contribute to changing surgical care and training through innovative technology.


Position Summary

The Senior Computer Vision Engineer will develop and optimize computer vision algorithms for XARlabs’ cutting-edge surgical platform. You will collaborate with engineers and clinicians to deliver high-performance solutions for mixed reality 3D visualizations, and surgical tracking and training. Your contributions will directly support the development of real-time, precision tools that enhance clinical training.


Key Responsibilities

  • Research, develop, and optimize computer vision and deep learning models for mixed reality applications in surgery.
  • Implement and improve real-time algorithms for medical imaging and surgical navigation.
  • Collaborate with cross-functional teams to translate clinical needs into technical solutions.
  • Conduct detailed analyses and provide recommendations based on model outputs to support surgical training.
  • Stay up-to-date with advancements in computer vision and integrate innovative techniques into the platform.


Qualifications

  • PhD in Computer Science, Computer Vision, Machine Learning, or a related field.
  • 3+ years of experience in computer vision, with a focus on real-time applications.
  • Proficiency in Python or C++, with experience in libraries such as OpenCV, PyTorch, or TensorFlow.
  • Familiarity with medical imaging formats (e.g., DICOM) and tools (e.g., ITK, VTK, 3D Slicer).
  • Experience optimizing algorithms for GPU computing and real-time performance.
  • Strong understanding of 3D reconstruction, camera calibration, and image processing.


Preferred Skills

  • Experience with AR/VR platforms such as HoloLens or Magic Leap.
  • Knowledge of surgical navigation systems or medical imaging applications.
  • Experience with cloud computing platforms like AWS or Azure.


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