Software Engineer Supervisor overseeing development and technical direction of mobile applications at INVID. Leading front - end and back - end development teams in a collaborative environment.
About the role
- 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
- Experience applying machine vision and CV libraries (e.g. OpenCV, scikit-image, ANTs, ITK)
- Experience with Python
- Familiarity with modern software development best practices (e.g., git, GitHub)
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Basic life insurance
- 401k plan
- Paid time off
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