
Job Overview
Location
Remote - USA
Job Type
Full-time
Category
Engineering Manager
Date Posted
April 15, 2026
Full Job Description
đź“‹ Description
- • Lead and grow a high-performing ML Vision team responsible for advancing Flock’s license plate recognition and vehicle intelligence models, driving innovation in computer vision to improve accuracy, robustness, and generalization across real-world conditions.
- • Architect and guide improvements in model performance, oversee the full ML lifecycle from data strategy to deployment and monitoring, and balance innovation with operational excellence to ensure scalable, reliable production systems.
- • Partner cross-functionally with product, hardware, and platform teams to align technical roadmap with business impact, while mentoring engineers through technical leadership, code reviews, and structured feedback to foster a culture of ownership and continuous learning.
- • Develop deep expertise in deploying computer vision systems at scale, influence Flock’s long-term ML strategy, and grow both technically and as a leader in a high-impact, mission-driven public safety company backed by $700M in funding and a $7.5B valuation.
Skills & Technologies
About Flock Safety Inc.
Flock Safety provides cloud-based automated license plate recognition and video analytics for law enforcement, private communities, and businesses. Its solar-powered cameras capture vehicle details, detect crimes such as theft and violent offenses, and generate evidence packages accessible via a web platform. The company emphasizes privacy controls, encrypted data handling, and configurable retention policies. Deployed across thousands of U.S. neighborhoods and agencies, the system integrates with existing public safety workflows to accelerate investigations, reduce response times, and improve crime clearance rates without adding patrol resources.
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