Senior Software Engineer for Computer Vision

2 days ago


Seattle, Washington, United States Metropolis Full time
Company Overview
Metropolis is an artificial intelligence company that utilizes computer vision technology to provide frictionless, checkout-free experiences in the real world. Our goal is to reimagine parking and make it possible for millions of consumers to simply 'drive in and drive out.'
We envision a future where people can transact in the real world at speeds, ease, and convenience unparalleled online.

The Role

Metropolis seeks a Senior Machine Learning Software Engineer to accelerate the development of our proprietary computer vision and machine learning software powering mobility products. As part of the Metropolis Machine Learning Team, you will be responsible for developing, deploying, and optimizing edge-deployed software. These systems are foundational to the Metropolis platform and have correspondingly large potential impacts on Metropolis and its customers.
You will find this to be a challenging opportunity filled with unique technical and operational considerations while being able to learn from and leverage our existing Computer Vision based development and operational ecosystem.

Responsibilities include working with the Machine Learning Team to design, develop, improve, and optimize computer vision, machine learning, and application software on edge devices using C++. You will participate in all phases of embedded software development, from concept and design to deployment and maintenance, identify top-level software requirements, establish development best practices, deliver high-quality C++ code in a real-time embedded environment, perform optimization on Machine Learning models targeting different hardware accelerators, implement, manage, and support over-the-air software updates to edge systems, and communicate ideas and results effectively to a wide range of technical and non-technical audiences.

This role requires a strong background in C++ and OpenCV, experience with computer vision and ML on edge/embedded systems, demonstrated experience taking complex software systems from concept to production, and excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner.

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