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 and experimentation to deployment, monitoring, and iterative improvement in production.
• Experience improving model robustness and generalization across diverse environmental conditions, hardware variability, and operational edge cases.
• Solid engineering fundamentals in Python, with experience building reliable, maintainable systems and contributing to shared infrastructure.
• Comfortable balancing hands-on technical contributions with roadmap alignment, cross-functional collaboration, and team development in a fast-moving environment.

Bonus if You Have

• Experience building or deploying computer vision systems for real-world edge environments (e.g., traffic cameras, embedded systems, mobile or drone imagery).
• Familiarity with large-scale model retraining workflows, model drift detection, and continuous evaluation in production ML systems.
• Experience improving inference efficiency through model compression techniques (e.g., distillation, quantization, pruning) or hardware-aware optimization.
• Exposure to multi-GPU or distributed training workflows for scaling training of large vision models.
• Experience leading technical roadmap planning or scaling teams through periods of rapid product growth.

 90 Days at Flock

First 30 Days - learn the business, build credibility

• Onboard technicallyby completing a "first-day push" and setting up a local ML development environment to understand the team’s current developer experience.
• Establish relationshipsand regular 1:1 cadences with your direct reports (Enrichment and Maintenance teams) and meet cross-functional partners in Product and Data Engineering.
• Deep-dive into the ML lifecycleat Flock, gaining hands-on experience with our data and model workflows.
• Develop a clear baselineof the team’s current work-in-flight to provide leadership with visibility into project status, goals, and estimated timelines.

First 60 days - take ownership, raise the bar

• Participate in the customer resolution cycleby personally resolving technical issues and model performance gaps to understand the end-user experience.
• Identify and triage technical debt, surfacing at least three meaningful bottlenecks in data/modeling infrastructure or security.
• Balance execution with delegationby personally resolving high-priority improvements while coaching team members through delegated technical challenges.
• Raise the bar on operational hygieneby auditing Jira workflows and security boards to ensure the team is moving efficiently and securely.

90 Days and beyond - drive scale, influence outcomes

• Fully own the long-term roadmapand operational health of the ML Enrichment and Maintenance teams, ensuring alignment with broader company goals.
• Lead the quarterly planning process, synthesizing feedback from your team and stakeholders into a prioritized list of high-leverage ML initiatives.
• Cultivate a culture of continuous improvementby establishing repeatable processes for identifying technical gaps and exploring new R&D opportunities.

Champion professional development within the org, managing performance review cycles and team participation.

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Salary & Equity

In this role, you’ll receive a starting salary between $200,000 and $220,000 as well as Flock Safety Stock Options. Base salary is determined by job-related experience, education/training, as well as market indicators. Your recruiter will discuss this in-depth with you during our first chat

Location

We’re building the impossible, together. To drive innovation through in-person collaboration, we’re prioritizing candidates in our key hubs: Atlanta, Boston, Chicago, Denver, Los Angeles, New York City, San Francisco, and Austin. While we value the energy of our hub communities, we embrace remote work and welcome applications from exceptional talent across the United States.

The Perks

🌴 Flexible PTO : We offer non-accrual PTO, plus 11 company holidays.

⚕️ Fully-paid health benefits plan for employees : including Medical, Dental, and Vision and an HSA match.

👪 Family Leave : All employees receive 12 weeks of 100% paid parental leave. Birthing parents are eligible for an additional 6-8 weeks of physical recovery time.

🍼 Fertility & Family Benefits: We have partnered with Maven , a complete digital health benefit for starting and raising a family. Flock will provide a $50,000-lifetime maximum benefit related to eligible adoption, surrogacy, or fertility expenses.

🧠 Spring Health: Spring Health offers a variety of mental health benefits, including therapy, coaching, medication management, and digital tools, all tailored to each individual's needs.

💖 Caregiver Support: We have partnered with Cariloop to provide our employees with caregiver support

💸 Carta Tax Advisor: Employees receive 1:1 sessions with Equity Tax Advisors who can address individual grants, model tax scenarios, and answer general questions.

💚 ERGs: We want all employees to thrive and feel like they belong at Flock. We offer four ERGs today - Women of Flock, Flock Proud, LEOs and Melanin Motion. If you are interested in talking to a representative from one of these, please let your recruiter know.

💻WFH Stipend: $150 per month to cover the costs of working from home.

📚Productivity Stipend: $300 per year to use on Audible, Calm, Masterclass, Duolingo and so much more.

🏠Home Office Stipend: A one-time $750 to help you create your dream office.

If an offer is extended and accepted, this position requires the ability to obtain and maintain Criminal Justice Information Services (CJIS) certification as a condition of employment. Applicants must meet all FBI CJIS Security Policy requirements, including a fingerprint-based background check.

Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together.

If you need assistance or an accommodation due to a disability, please email us at [email protected]. This information will be treated as confidential and used only to determine an appropriate accommodation for the interview process.

At Flock, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, as well as market indicators. The range above is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future. This job posting may span more than one career level.

Flock  is aware of fraudulent individuals and agencies falsely claiming to represent our company. All legitimate communication from Flock will come from an email address ending in@ flocksafety.com . We do not make job offers through messaging apps, social platforms, or unauthorized third parties, and we will never request payment or sensitive personal information during the hiring process. If you encounter suspicious outreach related to a Flock role, please report it to [email protected]