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We are the first public safety operating system empowering over 2500 cities to eliminate crime.
Engineering Manager, Computer Vision
Location
United States
Posted
58 days ago
Salary
$200K - $220K / year
Seniority
Lead
Job Description
Engineering Manager, Computer Vision
Flock Safety
• 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.
Job Requirements
- 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.
Benefits
- 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.
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