The primary responsibilities of this role, Computer Vision Engineer, are to:

• Turn complex bio-medical imaging data into useful insights.
• Serve as an independent subject matter expert for machine learning and computer vison.
• Develop unique and innovative computer vision methods and applications.
• Work in cross-disciplinary teams to implement AI products that will improve efficiency and

decision making and enable cost reductions.

• Discover insights and identify opportunities through the use of AI and machine learning techniques.
• Develop standardized data modeling workflows to shorten development cycles.
• Compare various modeling approaches and assess tradeoffs for accuracy, computation speed, and supportability in-field.
• Work with Software Engineers to translate custom modeling tools to executable routines for automation integration.
• Deliver analytical reports and present results to stakeholders and technical team members and maintain IP-related documentation of results.

Qualifications:

• BS in computer science/machine learning, applied mathematics, statistics, engineering, or related fields Proficiency in: machine learning techniques, computer vision, convolutional neural networks, clustering, generative adversarial networks, feature selection, classification, regression, etc.; • 3 years experience with image processing

3 years experience (or demonstrated proficiency) using procedural languages including Python and MATLAB • Experience with image processing and experience with data fusion from multiple imaging systems such as hyperspectral, X-ray, multi-spectral, lidar, thermal, and CT; • Experience using AWS and other cloud computing environments