Machine Vision Software Engineer developing scalable video processing pipelines for research in neural dynamics at the Allen Institute. Collaborating with scientists to enable quantitative behavioral characterization.
Responsibilities
Collaborate with scientists and engineers to design and build computer vision algorithms for large scale video data
Pilot and implement methods for video analysis: pose tracking, object detection, activity segmentation, action recognition
Work with a software team to integrate algorithms and results into a broader analytics platform
Follow team software best practices - write unit and integration tests, participate in code reviews, track issues, version code, manage stage/production environments, write documentation
Share your methods with the community via white papers, conference talks, and journal articles
Requirements
Bachelor's degree in computer science or related field; or equivalent combination of degree and experience
1 year of relevant experience in a software development team
Experience applying computer vision and image processing algorithms to imaging data
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