Who is Flock?

Flock is the leading safety technology platform, helping communities thrive by taking a proactive approach to crime prevention and security. Our hardware and software suite connects cities, law enforcement, businesses, schools, and neighborhoods in a nationwide public-private safety network. Trusted by over 5,000 communities, 4,500 law enforcement agencies, and 1,000 businesses, Flock delivers real-time intelligence while prioritizing privacy and responsible innovation.

We’re a high-performance, low-ego team driven by urgency, collaboration, and bold thinking. Working at Flock means tackling big challenges, moving fast, and continuously improving. It’s intense but deeply rewarding for those who want to make an impact.

With nearly $700M in venture funding and a $7.5B valuation, we’re scaling intentionally and seeking top talent to help build the impossible. If you value teamwork, ownership, and solving tough problems, Flock could be the place for you.

The Opportunity

Flock is a mission-driven public safety company building hybrid hardware-software systems to help eliminate crime. Our LPR and video devices collect vast volumes of information, powering products that help law enforcement and communities search, interpret, and act on critical intelligence. Flock provides investigators with tools that support text-to-image, image-to-image, and semantic search, increasing the speed and precision of investigations.

As an Engineering Manager, ML Vision, you will lead a team of high-performing engineers responsible for advancing and maintaining Flock’s core license plate recognition and vehicle intelligence models. Your team will drive innovation in computer vision modeling, improving accuracy, robustness, and generalization across diverse real-world conditions. You will set the technical direction and execution strategy for model development, evaluation, deployment, and lifecycle management, ensuring our systems perform reliably at scale.

As a people leader, you will be responsible for hiring, mentoring, and growing a strong, mission-driven engineering team. You will foster a culture of technical excellence, ownership, and continuous learning, supporting individual growth and long-term career development. You will balance forward-looking innovation with operational excellence, ensuring our production systems remain performant, resilient, and extensible.

In close partnership with product, hardware, and platform teams, you’ll align roadmap priorities with business impact while empowering your team to execute effectively. Your leadership will be central to Flock’s ability to deliver accurate, real-time vehicle intelligence that powers critical public safety workflows.

How You’ll Make an Impact

• Lead and grow a high-performing ML Vision team while remaining hands-on in the design, development, and optimization of Flock’s license plate recognition and vehicle intelligence models.

• Architect and guide improvements in model accuracy, robustness, and generalization across diverse real-world conditions, hardware variations, and edge cases.

• Drive innovation in vehicle and license plate modeling, extending capabilities to support new data sources and evolving product needs.

• Oversee and actively participate in the full ML lifecycle — data strategy, training pipelines, validation, deployment, monitoring, and retraining — ensuring scalable, reliable production systems.

• Balance forward-looking innovation with maintenance and operational excellence, proactively addressing model drift, technical debt, and system reliability.

• Partner cross-functionally with product, hardware, and platform teams to translate business priorities into a clear technical roadmap and deliver high-impact vehicle intelligence capabilities.

• Mentor and develop engineers through technical leadership, code reviews, architectural guidance, and structured feedback, fostering a culture of ownership and continuous improvement.

• Drive continuous improvement in the team's engineering and ML development processes, actively removing roadblocks to enable faster innovation and execution.

About You

• 7+ years of industry experience in Machine Learning, with deep expertise in computer vision and deploying models in real-world production systems.

• Experience leading engineers through formal management or strong technical mentorship, with a track record of growing individuals and elevating team performance.

• Strong hands-on proficiency in PyTorch and modern deep learning workflows, including model training, fine-tuning, evaluation, and failure analysis.

• Demonstrated ownership of ML initiatives end-to-end — from data strategy an