Engineering Manager, Multimodal Modeling

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🕒 Abril 20

🏄 California, Colorado, +4 estados a mais – Remoto

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

💵 $200.000 - $220.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

👮‍♀️ Gerente de Engenharia de Software

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Flock Safety

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2017

🔐 Segurança

💰 $150.000.000 Series E em 2022-02

Security • Public Safety • Technology

Flock Safety é uma empresa que se concentra em fornecer soluções tecnológicas avançadas para a segurança pública e privada. Eles utilizam ferramentas como reconhecimento de placas de veículos (LPR), câmeras de vídeo, detecção de áudio e drones automatizados para melhorar a segurança em bairros, empresas, escolas e organizações governamentais. Seus produtos são projetados para dissuadir o crime e auxiliar as forças de segurança na geração de pistas através da coleta de evidências. A Flock Safety opera em um modelo de serviço por assinatura, oferecendo uma infraestrutura sem necessidade de manutenção e fácil de implementar para melhorar a segurança comunitária. Confiada por mais de 5. 000 comunidades, a Flock Safety visa criar ambientes mais seguros, mantendo a transparência e a privacidade.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.