Director of Computer Vision

🕒 il y a 3 mois

🏄 California, North Carolina, +2 états de plus – Distant

🏄 California – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote ⚔️ Virginia – Remote

💵 $250 000 - $290 000 / an

⏰ Temps Plein

🔴 Expert

👔 Directeur

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 35%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Motorola Solutions

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1928

🏥 Santé

💼 Conseil

📦 Logistique

Healthcare • Consulting • Logistics

Motorola Solutions est une entreprise fournissant un écosystème complet de sécurité et de sûreté, offrant des solutions technologiques pour protéger les personnes, les biens et les lieux. L'entreprise se spécialise dans les communications critiques, les systèmes de sécurité vidéo, les solutions pour centres de commande, ainsi que les services de gestion et de support. Ses produits incluent des radios P25 pour missions critiques, des radios DMR professionnelles, des appareils large bande et des systèmes de sécurité vidéo alimentés par l'analytique IA. Motorola Solutions dessert divers secteurs, y compris la sécurité publique, l'éducation, les soins de santé, les forces de l'ordre et plus encore, mettant l'accent sur l'amélioration de l'efficacité opérationnelle et de la réactivité dans les situations critiques. Elle s'engage à fournir des solutions qui aident ses clients à rester connectés, à communiquer clairement et à agir avec certitude dans les conditions les plus difficiles.

Description

• Drive the technical vision, research and engineering execution for the platform. • Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. • Provide executive technical leadership to a unified research and engineering organization. • Define the technical architecture, strategy, and engineering roadmap for the Computer Vision Platform. • Drive execution, ensuring the seamless translation of product requirements into robust technical specifications and successful delivery of next-generation visual intelligence solutions. • Manage and scale a unified computer vision research and engineering organization distributed across multiple geographies. • Own the entire engineering lifecycle for central, reusable computer vision models and foundational AI infrastructure. • Establish best-in-class MLOps practices for scalable training, efficient deployment, continuous monitoring, and performance optimization across edge and cloud environments. • Define, implement, and track key technical performance metrics to measure engineering success, identify bottlenecks, and drive continuous improvement in execution and delivery. • Evaluate and integrate cutting-edge computer vision research and technologies while proactively identifying and mitigating significant technical risks.

🎯 Exigences

• 10+ years of technical leadership experience leading computer vision teams and organizations, with a focus on building and deploying enterprise-scale platforms and solutions in production. • Deep, demonstrable expertise in computer vision, machine learning algorithms, and the end-to-end MLOps lifecycle, including 5+ years of hands-on experience building and optimizing computer vision models or as a computer vision researcher. • Proven ability to engage in complex technical discussions, define the architectural vision for central, reusable AI infrastructure and models, and drive technical strategy while managing critical trade-offs. • Proven experience defining long-term technical vision, engineering strategy, and roadmaps for a large-scale platform. • Expertise in defining and implementing technical metrics (e.g., latency, throughput, system reliability, model efficiency) to measure engineering excellence and drive continuous improvement across an organization. • Demonstrated ability to manage and scale a unified, distributed engineering and research organization of 50 to 100 people, mentor senior technical talent, and lead multiple teams across different geographies. • Hands-on experience driving innovation through foundational research, working with AI performance metrics (e.g., Precision/Recall), real-time video processing, and inference optimization. • Track record of translating highly ambiguous product concepts and complex customer needs into clear, executable technical roadmaps and architectural specifications. • Experience in a start-up or fast-paced environment is highly valued, demonstrating high ownership, bias for action, comfort with ambiguity, and the ability to drive 0-to-1 product development with limited resources. • Experience in public safety, security-focused software (e.g., video security, evidence management), mission-critical systems, or emergency communications is a plus.

🏖️ Avantages

• Incentive Bonus Plans • Medical, Dental, Vision benefits • 401K with Company Match • 10 Paid Holidays • Generous Paid Time Off Packages • Employee Stock Purchase Plan • Paid Parental & Family Leave • and more!