Machine Learning Engineer - Remote

Overview

Citizen is the #1 public safety app in the US, used by over 10 million people across 60+ U.S. cities to stay safe and informed in real time. Every piece of information is sourced directly from verified 911 data or live user reports. People have used Citizen to evacuate from fires, recover missing children, and avoid dangerous situations.

In Short

• Seeking an experienced Machine Learning Engineer.
• Drive the development of critical features for user impact.
• Work with operations to build ML models from radio information.
• Focus on real-time audio transcription and data association.
• Detect relevance and filter noise from critical information.
• Generate structured content from unstructured streams.
• Guide prioritization and impact analysis across ML initiatives.
• Identify opportunities to leverage AI/ML tooling.
• Ensure models scale reliably as the company grows.
• Join a mission-driven team focused on public safety.

Requirements

• Computer Science or Machine Learning degree or equivalent experience.
• Strong grounding in Machine Learning concepts and techniques.
• Experience with various ML techniques and frameworks.
• 5+ years leading and delivering ML solutions.
• Bonus: experience with ML for audio or natural language data.

Benefits

• 100% employer-paid medical, dental, and vision for employees.
• Unlimited PTO.
• Up to 14 weeks paid parental leave.
• Monthly tech stipend.
• Free mental health support.
• Hybrid work environment + catered lunches (NYC HQ).