Citizen
A Machine Learning Engineer at Citizen is responsible for developing core recommendation systems that enhance user safety by processing large volumes of real-time video content. The role entails real-time ranking and recommendation of videos, noise detection, and leveraging multimodal signals for relevance scoring, all while ensuring scalability to support rapid user growth. The engineer will collaborate closely with the video team, implement feedback loops for continuous improvement, and drive prioritization across machine learning initiatives utilizing technologies such as Go, Python, and Kubernetes on Google Cloud.
Headquarters
New York, New York, United States
Company Size
51-200 employees
Founded
2017
Citizen is a personal safety network designed to empower individuals by providing real-time alerts and updates about emergencies and criminal activities in their vicinity. The app enables users to receive instant notifications of urgent incidents, connect with others for safety tracking, and access live video broadcasts of events as they unfold. By facilitating rapid information sharing and real-time data from both official sources and the community, Citizen aims to enhance public safety and community awareness.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Citizen.
Citizen didn’t post a salary, so this is our estimate from similar listings.
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