Job Url: https://www.remoterocketship.com/company/citizen-2/jobs/machine-learning-engineer-united-states-remote Job Description: Citizen Website LinkedIn All Job Openings Citizen is a personal safety network that empowers individuals to protect themselves and others. It provides access to real-time 911 alerts, crisis responder assistance, and safety tracking for friends and families, facilitating increased situational awareness and community support. By delivering timely information on incidents, Citizen allows users to make informed decisions to enhance their safety and the safety of their loved ones. Mobile β€’ Software β€’ iOS β€’ Android β€’ Mapping 51 - 200 employees Founded 2017 πŸ”’ Cybersecurity 🌍 Social Impact Machine Learning Engineer 4 days ago πŸ‡ΊπŸ‡Έ United States – Remote πŸ’΅ $220k / year ⏰ Full Time 🟑 Mid-level 🟠 Senior πŸ€– Machine Learning Engineer πŸ¦… H1B Visa Sponsor Cassandra Cloud IoT Kubernetes MySQL Python Redis Go Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ Citizen is the #1 public safety app in the US, used by over 10 million people across 60+ U.S. cities. β€’ Seeking an experienced Machine Learning Engineer to drive the development of critical features. β€’ Work closely with operations team to build ML models that process large volumes of radio information. β€’ Spearheading projects such as real-time audio transcription and detecting relevance in critical information. β€’ Guide prioritization and impact analysis across ML initiatives. 🎯 Requirements β€’ Computer Science degree or Machine Learning-related degree; or equivalent work experience in the field β€’ Strong theoretical grounding in core Machine Learning concepts and techniques β€’ Experience with a variety of ML techniques and frameworks, e.g. data discretization, normalization, sampling, linear regression, decision trees, SVMs, deep neural networks, etc β€’ 5+ years experience leading and delivering effective ML solutions for production use cases β€’ Bonus: experience with ML for audio or natural language data, and integrating ML pipelines with human-in-the-loop systems πŸ–οΈ Benefits β€’ 100% employer-paid medical, dental, and vision for employees β€’ Unlimited PTO β€’ Up to 14 weeks paid parental leave (for all parents) β€’ Monthly tech stipend β€’ Free mental health support β€’ Hybrid work environment + catered lunches (NYC HQ)