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Metropolis Technologies

HQ
Santa Monica
Total Offices: 6
23,100 Total Employees
Year Founded: 2017
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Metropolis Technologies Offices

Metropolis Technologies is headquartered in Santa Monica and has 6 office locations.

OnSite Workplace

Employees work from physical offices.

Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week.

Typical time on-site: 5 days a week

U.S. Office Locations

HQ Santa Monica Austin Chicago Nashville New York Seattle
HQ

Santa Monica

Santa Monica, CA, United States, 90401

Austin

Austin, TX, United States

Chicago

Chicago, IL, United States, 60601

Nashville

Nashville, TN, United States, 37201

New York

New York, NY, United States, 10012

Seattle

Seattle, WA, United States, 98109

Recently posted jobs

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Metropolis Technologies

Manager, People Solutions

2 Days AgoSaved
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In-Office
Seattle, WA, USA
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Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Manages Central People Operations by overseeing HRIS data accuracy, transactional escalations, workflow automation, SLA performance, reporting, and operational projects. Leads and develops People Solutions Coordinators, establishes procedures and audit frameworks, partners with Payroll, HR, Legal, Risk, and Field Leadership, and uses AI and process improvement to increase efficiency and data quality.
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Metropolis Technologies

Director, Applied AI

3 Days AgoSaved
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In-Office
Seattle, WA, USA
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Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Lead the Applied AI organization, architect AI-focused operating models, manage a team of AI engineers, and redesign business processes for improved efficiency and cost savings.
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Metropolis Technologies

Senior Staff Software Engineer, Recognition Platform

13 Days AgoSaved
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In-Office
Seattle, WA, USA
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Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Own the architecture and technical direction of a high-volume recognition platform spanning edge ingestion, identity resolution, real-time decisioning, notifications, and operator tools. Lead streaming pipeline design, privacy and consent models, observability, reliability, testing, progressive delivery, RFCs, cross-functional alignment, and mentorship. Build systems that combine deterministic rules with probabilistic computer vision signals under physical-world deployment constraints.
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