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.
What they're looking for
- Masters in Computer Science, Software Engineering, Mathematics, or equivalent
- 3+ years of industry and/or academic experience relating to software, deep learning and computer vision
- Experience using and modifying state-of-the-art CV models and frameworks, with understanding of their theoretical underpinnings
- Knowledge of model architectures and techniques across a broad range of domains, including object detection, segmentation, anomaly detection, object tracking, video-understanding and vision language models
- Strong software engineering skills - you care deeply about the quality of your code
- Solid oral, written, presentation, collaboration, and interpersonal communication skills
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 has a broad and rapidly growing set of customers in manufacturing, industrial IoT, government and security.
We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will be working in a fast-paced environment, surrounded by experts who are passionate about their work.
This position is onsite at our downtown Palo Alto office, located near the Stanford campus and Caltrain.
- Advance the computer vision and deep learning technology powering Matroid's computer vision platform
- Keep on top of the latest developments and research in academic CV/DL and decide how we should apply them to our real world use-cases
- Engineer new DL capabilities end-to-end; research, experiment, iterate, develop, optimize and productionize
How you’ll be doing it
- Operating in a collaborative...
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