Metropolis Technologies

Metropolis Technologies

HQ
Santa Monica, CA
Total Offices: 3
490 Total Employees
Year Founded: 2017
Jobs at Metropolis Technologies

Search the 10 jobs at Metropolis Technologies

Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate
Senior Technical Program Manager responsible for developing technical solutions to cross-functional hardware system problems at Metropolis. Design and deploy custom hardware systems, collaborate with internal and external partners, lead and manage cross-functional hardware and software programs, and ensure delivery optimization. Must have a well-rounded technical background in software and hardware systems.
Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate
Design, build, and maintain robust, scalable data pipelines for ML model development. Collaborate with ML engineers and data scientists to implement solutions for effective model training. Ensure data quality, security, and compliance. Mentor junior team members and stay updated on emerging technologies in data engineering and machine learning.
Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate
Design and implement backend services for Metropolis mobility platform. Leverage software engineering experience to pursue best solutions. Participate in product direction, mentor other engineers, and assist with architecture design.
Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate
Design, implement and maintain backend services for Metropolis' mobility platform. Collaborate with the Engineering team to define product direction and mentor other engineers. Ensure highly available and scalable systems.
Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate
As a Technical Project Manager in Special Projects at Metropolis, you will drive successful outcomes across broad, multi-functional initiatives to achieve the company's vision. Responsibilities include project planning, relationship building, status reporting, opportunity identification, and subject matter expertise development.
Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate
The Head of Public Affairs at Metropolis is responsible for building out the public affairs function, engaging with governments and community leaders, and shaping the company's strategy. This role involves collaborating with internal and external teams to establish key audience engagement and manage regulatory and political risks, among other responsibilities.
Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate
The Operations Coordinator is responsible for supporting the operations in an assigned location or locations. They manage a team of hourly employees, schedule shifts, and ensure tasks are completed in accordance with organizational requirements. They also hire and develop team members, control spending, maintain maintenance control documents, and ensure customer service standards are met.
Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate
Seeking a Product Lead to drive product vision, roadmaps, and initiatives for enterprise customers and end-users. Responsibilities include leading agile product development, conducting QA, identifying and solving issues, and building strong relationships with cross-functional teams.
Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate
Exciting role for a proven leader to lead Infrastructure, Application Development, and Quality Assurance teams. Responsible for technical decisions, collaborating with various departments, setting strategic direction, and fostering an agile culture. Building and owning the hiring plan for all roles in these areas.
Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate
As a Senior Data Scientist, you will analyze large-scale datasets, design key metrics, prototype predictive models, and collaborate with cross-functional teams to drive data-driven decisions and product strategy. Requires a Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or related field, with 5+ years of experience in data science.