[Remote] Machine Learning Engineer at Citizen

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Public Safety, AI/ML, Mobile AppsIndustries

Requirements

Degree in CS, Machine Learning, or equivalent industry experience
Deep understanding of applied ML pipelines in production environments
Experience across ML modeling techniques and frameworks (e.g., ranking, embeddings, neural networks, tree-based models)
5+ years building and shipping ML systems with measurable product impact
Bonus: Experience in recommender systems, video understanding, or human-in-the-loop learning

Responsibilities

Drive the development of core recommendation capabilities for real-world relevance and value to users
Work closely with the video team to build systems that process large volumes of real-time video content, transforming noisy, user-generated media into a compelling and trustworthy feed experience
Lead major initiatives including: real-time ranking and recommendation of newly uploaded videos; modeling video relevance, quality, and local importance; noise and duplicate detection to reduce feed clutter; leveraging multimodal signals (visual + audio + metadata) for relevance scoring; building human-in-the-loop feedback loops that continuously improve model quality
Drive prioritization and technical execution across ML efforts
Identify opportunities for emerging AI/ML methods
Ensure that recommendation models scale to support rapid product and user growth

Skills

Key technologies and capabilities for this role

Machine LearningRecommendation SystemsReal-time Video ProcessingRanking AlgorithmsMultimodal AINoise DetectionDuplicate DetectionComputer VisionAudio ProcessingScalable ML Systems

Questions & Answers

Common questions about this position

Is this Machine Learning Engineer position remote?

Yes, the position is fully remote.

What skills and experience are required for this role?

Candidates need a degree in CS, Machine Learning, or equivalent experience, deep understanding of applied ML pipelines in production, experience with ML modeling techniques like ranking, embeddings, neural networks, and tree-based models, and 5+ years building and shipping ML systems with product impact.

What is the salary or compensation for this position?

This information is not specified in the job description.

What technologies does the team use?

The stack includes Go for real-time systems, Python for ML, Cassandra, MySQL, Redis, Google PubSub for data, Kubernetes on Google Cloud for infra, and OpenAI platforms with growing internal ML capabilities.

What makes a strong candidate for this Machine Learning Engineer role?

Strong candidates have 5+ years of experience shipping ML systems with product impact, expertise in production ML pipelines, and bonus experience in recommender systems, video understanding, or human-in-the-loop learning, especially if passionate about improving user safety.

Citizen

Mobile app for real-time safety alerts

About Citizen

Citizen provides a mobile application that delivers real-time alerts about emergencies and incidents reported to 911. The app helps individuals, families, and communities stay informed about safety risks in their surroundings. It works by sending alerts within seconds of a 911 call or user report, allowing users to avoid dangerous areas and stay updated on incidents like robberies or road closures. Users can also contribute by sharing live video or updates, enhancing community awareness. Citizen stands out from competitors by focusing on real-time, user-generated content, which offers faster and more accurate information than traditional emergency alert systems. The goal of Citizen is to enhance personal safety and situational awareness for its users.

New York City, New YorkHeadquarters

2017Year Founded

$122.6MTotal Funding

SERIES_CCompany Stage

Consumer Software, CybersecurityIndustries

51-200Employees

Benefits

Stock Options - Competitive options packages.

Growth - Fireside chats with featured speakers, a weekly Q&A with the CEO, a monthly book club, and 100% reimbursement for work-related books.

Health Benefits - Citizen covers 90% of your health, dental, and vision care.

Time Off - For salaried employees, nine company holidays and unlimited paid time off. For hourly employees, 21 days of PTO and overtime eligibility.

Transit - Commute to and from the office with pre-tax commuter card benefits.

Risks

Sequoia Capital's withdrawal may signal financial instability affecting future investments.

Privacy concerns over user-generated content could lead to regulatory scrutiny.

Increased competition from alternative safety apps may reduce Citizen's market share.

Differentiation

Citizen provides real-time alerts sourced from the latest 911 data.

The app features user-generated content for faster, accurate information than traditional systems.

Citizen fosters community safety by connecting users with family, friends, and neighbors.

Upsides

Integration with smart home devices enhances user experience with voice-activated alerts.

Expansion into wearable technology offers hands-free real-time safety alerts.

AI-powered incident prediction could provide proactive safety alerts to users.

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