Citizen

Machine Learning Engineer

Citizen

4 months ago
Hybrid
Full Time
Senior
0 applicants
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Citizen
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About this role

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.

Skills

Qualifications

Degree in CS, Machine Learning, or equivalent industry experience
Citizen

About Citizen

citizen.com

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.

About Citizen

Headquarters

San Francisco, CA

Company Size

201-500 employees

Founded

2018

Industry

Technology

Glassdoor Rating

4.2 / 5

Leadership Team

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

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