Deep Learning Engineer

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

Operating in a collaborative but highly autonomous environment where you are empowered to make an impact

Knowing that everything you build affects real-world users, with corresponding quality standards for your work

Collaborating with other DL engineers, as well as our other expert teams, including product, infrastructure, and field engineering

Masters in Computer Science, Software Engineering, Mathematics, or equivalent