Use Matroid's computer vision to identify actions, objects, defects and events. Perfect for security, manufacturing, compliance, and more. Get a demo today! Backed by NEA.
About the role
Matroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and deploy automated visual inspection on imagery, including EO, IR, X-Ray, CT, OCT, and others. Founded in 2016 by a Stanford professor, Matroid serves a broad and rapidly growing customer base across manufacturing, automotive, logistics, aerospace, data center infrastructure, and security.
What they're looking for
- Bachelor’s degree in computer science, computer engineering, electrical engineering, or another technical field
- Experience training and deploying state-of-the-art CV models using popular machine learning frameworks, such as TensorFlow or PyTorch
- Strong software engineering skills
- Solid oral, written, presentation, collaboration, and interpersonal communication skills
- Adept at communicating to both technical and commercial audiences
More about this role
Matroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and deploy automated visual inspection on imagery, including EO, IR, X-Ray, CT, OCT, and others.
Founded in 2016 by a Stanford professor, Matroid serves a broad and rapidly growing customer base across manufacturing, automotive, logistics, aerospace, data center infrastructure, and security.
We’re looking for a Deep Learning Field Engineer to operate at the forefront of CV deployment in industry - building best-in-class CV systems that leverage deep learning techniques to solve a broad range of challenging use cases, such as quality inspection, assembly verification, process optimization and safety and compliance.
You’ll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.
- Train state-of-the-art CV models across a broad range of domains, such as object detection, anomaly detection, panoptic segmentation, action recognition and tracking.
- Deploy end to end CV systems across a range of environments (cloud, edge, hybrid).
- Integrate Matroid into inspection workflows and third party systems,...
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