Metropolis develops advanced computer vision and machine learning technology that make mobile commerce remarkable. Our platform is already deployed in hundreds of mobility facilities and industries with billions in opportunity. We’re building the digital pipes through which the future of mobile commerce will move.
Metropolis is seeking a Machine Learning Infrastructure Engineer to lead the development of MLOps cycle that would empower our data, training, and deployment pipelines. You will be responsible for developing and managing various pipelines by identifying inefficiencies and solving these problems through standardization and automation at the infrastructure level. The platform you build will accelerate the life cycle of our product and provide a foundation for the workflow of ML engineers. If you are interested in building fault-tolerant systems, eliminating toil, automation, and CI/CD in the computer vision area, then this is the ideal opportunity for you.
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows.
Requirements and Qualifications
At Metropolis, we don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our customers, and our community. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. If you’re good at what you do, come as you are. The more inclusive we are, the better our work will be. We are proud to be an equal opportunity workplace.