LEAD COMPUTER VISION ENGINEER

If you'd like to apply, send your resume to jobs@veebot.com

LEAD COMPUTER VISION ENGINEER

We're looking for a computer vision engineer with a computer-science based skill set who is excited to join Veebot at an early stage and take on a lot of responsibility. The position focuses on using medical imaging modalities to automate blood vessel identification and localization. This involves technical challenges in the areas of optics, real-time image processing, depth sensing, SLAM, sensor fusion, 3D reconstruction and target tracking. We're looking for candidates who share a passion for exploring and solving complex problems at the intersection of medical imaging and computer vision. Position based out of Miami, Florida.

RESPONSIBILITIES Lead all computer-vision efforts at Veebot

Explore and identify best medical imaging modalities to identify blood vessels

Develop novel, accurate computer vision algorithms with a focus on image processing, real-time object tracking, SLAM, sensor fusion, camera calibration and 3D reconstruction

Research, develop and prototype advanced hardware and software technologies related to blood vessel identification, tracking, movement detection, and 3D reconstruction

Apply machine learning to improve and continuously improve blood vessel identification

Analyze and improve speed, efficiency, scalability and stability of various deployed systems

Collaborate with team members to integrate subsystems

Report to CEO on progress

KEY QUALIFICATIONS Currently has or is in the process of obtaining Master's in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field from top university

Self-starter

Expert-level programming skills, with experience in C++

1+ years' experience developing real-time computer vision software in C++, including algorithm design and systems software development

Experience with applying machine learning, neural networks and/or Bayesian filters to complex, real-life problems

Strong grasp of 3D geometry

Understanding of applied mathematics and numerical optimization

Prototyping skills

Assist with writing patent applications as needed

PREFERRED QUALIFICATIONS 3+ years' experience with real-time image processing, object tracking, SLAM, sensor fusion, real-time image processing, etc.

Extensive OpenCV experience

Background in medical imaging

Experience working with robots

Experience training deep convolutional and/or recurrent neural networks

Experience with CPU/GPU optimization

Proven publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc

ADDITIONAL REQUIREMENTS Occasional travel will be required