The Company
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 of dollars in opportunity. We’re building the digital pipes through which the future of mobile commerce will move.
The Role
Metropolis is seeking a Senior Machine Learning Scientist to accelerate the development of a new focus area of machine learning algorithms that will be used to enhance our mobility products. As part of the Metropolis Machine Learning Team, you will be responsible for the development, deployment, and ongoing optimization of models related to parking demand, occupancy, and pricing. The surface area of these problems is huge and has a correspondingly large potential impact on Metropolis. 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.
The right candidate will possess a strong background in analytics and modeling for pricing applications (or areas adjacent to pricing) and have demonstrated experience taking ML systems from concept to production. You can expect to be working on all stages of the ML development pipeline – from data acquisition and ingestion to analysis, prototyping and deployment. You should be able to thrive and succeed in an entrepreneurial setting, working collaboratively in a fast-paced environment with multiple stakeholders. You won’t be afraid to break new technological ground at Metropolis and are more than willing to roll up your sleeves, dig in and get the job done.
Responsibilities
Requirements and Qualifications
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.
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