Matroid, Inc.

Machine Learning Engineer

• 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
• Operate in a collaborative but highly autonomous environment where you are empowered to make an impact
• Build with awareness that everything you build affects real-world users, with corresponding quality standards for your work
• Collaborate with other DL engineers, as well as product, infrastructure, and field engineering teams
• Work onsite at Matroid's downtown Palo Alto office, located near the Stanford campus and Caltrain

Deep Learning Engineer

Full-stack Engineer

• Architect & code up new system capabilities to enable the features of our computer vision platform
• Develop secure, reliable, scalable infrastructure projects; ranging from the hardware running our platform to the software abstractions powering it
• Increase efficiency across engineering with better libraries, tooling and automation
• Apply modern best practices such as infrastructure-as-code and observability
• Operate in a collaborative but highly autonomous environment where you are empowered to make an impact
• Develop in a codebase with modern technologies, where quality matters
• Collaborate with other engineers, product, deep learning and field engineering teams

Deep Learning Engineer

Software Engineer, Systems and Infrastructure