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 has a broad and rapidly growing set of customers in manufacturing, industrial IoT, government and security. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Master’s in Computer Science, Software Engineering, Mathematics, or a related field, or a Bachelor’s with equivalent experience
- 3+ years of industry and/or academic experience in deep learning, computer vision, and software engineering
- Experience building ML systems & capabilities, not just scripts & one-off experiments
- Familiarity with modern architectures and techniques: the latest foundation models, how they work, what you can do with them
- Strong software engineering skills in Python and PyTorch, you care 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 Deep Learning Engineer to build the models, capabilities, and systems at the heart of our multimodal vision platform. This is a broad and deeply technical role, with significant ownership and impact. You’ll rapidly take ideas from research all the way to production: apply the latest techniques to build and deploy new platform capabilities, solving visual inspection for our customers. You’ll work in a fast-paced environment alongside experts who are passionate about their work.
This position is onsite five days a week at our downtown Palo Alto office, near the Stanford campus and Caltrain.
What you’ll do
- Research: Critically analyze the latest research in computer vision and deep learning, and decide what’s worth adapting for use in our platform
- Build: Design, adapt, and...
Browse similar: AI jobs · AI startup jobs · Startup jobs · San Francisco Bay Area