Machine Learning Engineer

Citizen(2 months ago)

HybridFull TimeSenior$159,526 - $213,923 (estimated)PEDD

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.

View Original Listing

Required Skills

Machine Learning
Video Processing
Real-time Systems
Noise Detection
Recommendation Systems
Python
Go
Cassandra
MySQL
Redis

+6 more

Qualifications

Degree in CS, Machine Learning, or equivalent industry experience

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.