Engineering Manager, Multimodal Modeling

Job not on LinkedIn

🕒 April 20

🏄 California, Colorado, +4 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote

💵 $200k - $220k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

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Flock Safety

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2017

🔐 Security

💰 $150M Series E on 2022-02

Security • Public Safety • Technology

Flock Safety is a company that focuses on providing advanced technological solutions for public and private safety. They utilize tools such as license plate recognition (LPR), video cameras, audio detection, and automated drones to enhance security for neighborhoods, businesses, schools, and governmental organizations. Their products are designed to deter crime and assist law enforcement in generating leads through evidence collection. Flock Safety operates on a subscription service model, offering maintenance-free, easy-to-deploy infrastructure to improve community safety. Trusted by over 5,000 communities, Flock Safety aims to create safer environments while maintaining transparency and privacy.

📋 Description

• Lead and grow a high-performing Multimodal ML team — hiring top talent, developing engineers' careers, and building a culture of ownership, technical excellence, and continuous improvement. • Manage competing workstreams across model development, production reliability, and moderation — prioritizing effectively and ensuring the team delivers on the highest-impact work. • Guide the development and improvement of multimodal models for image-text and image-to-image embeddings, ensuring high-quality modality alignment and retrieval performance. • Oversee the full ML lifecycle for multimodal systems — data strategy, training pipelines, evaluation frameworks, vector storage, deployment, monitoring, and retrieval — ensuring scalable, reliable production systems. • Drive innovation in cross-modal search capabilities, extending support to new data sources and evolving product needs. • Own the moderation model, ensuring query handling meets safety and appropriateness standards across search products. • Own production reliability for the multimodal search pipeline, including incident response, on-call processes, and service-level commitments. • Balance forward-looking innovation with maintenance and operational excellence, proactively addressing model drift, embedding quality degradation, and system reliability. • Partner cross-functionally with product, search, data engineering, and platform teams to translate business priorities into a clear technical roadmap and deliver high-impact multimodal capabilities. • Mentor and develop engineers through technical leadership, code reviews, architectural guidance, structured feedback, and regular performance cycles — fostering individual growth and long-term career development.

🎯 Requirements

• 3+ years of engineering management experience leading Machine Learning teams, with a track record of hiring, developing, and retaining high-performing engineers. • 7+ years of industry experience in Machine Learning, with strong familiarity with computer vision, multimodal modeling, or embedding-based retrieval systems. • Demonstrated experience managing competing workstreams — balancing innovation, production reliability, and maintenance across multiple concurrent initiatives. • Experience running structured performance cycles, including goal-setting, regular feedback, calibration, and career development conversations. • Proven ability to hire effectively — sourcing, interviewing, calibrating, and closing candidates for technical ML roles. • Strong technical foundation in Python and modern ML workflows, with enough depth to evaluate architectural decisions, review code, and guide experimentation strategy. • Experience owning production ML systems end-to-end, including deployment, monitoring, incident response, and iterative improvement. • Familiarity with classification or content moderation systems, including understanding of safety filtering, policy enforcement, and evaluation of model outputs. • Comfortable partnering cross-functionally with product, search, data engineering, and platform teams to align roadmap priorities with business impact.

🏖️ 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.