Remote Director of Computer Vision Platform

Motorola Solutions

Vermont

Remote

USD 250,000 - 290,000

Full time

5 days ago
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Benefits offered by this job

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

Job summary

Motorola Solutions seeks a Director of Computer Vision to shape the technical vision and drive engineering for our CV platform. You will lead an enterprise-scale team across geographies, defining architecture, strategy, and a robust AI infrastructure with focus on scalable, edge-to-cloud deployment.

You will own the end-to-end MLOps lifecycle, establish performance metrics, and translate ambiguous customer needs into executable roadmaps while fostering innovation and risk management.

Qualifications

  • 10+ years in technical leadership for computer vision teams.
  • 5+ years hands-on building and optimizing CV models and MLOps.
  • Experience leading 50–100 staff across geographies.
  • Strong ability to translate customer needs into roadmaps and specs.

Responsibilities

  • Define the long-term CV research agenda and drive scientific excellence.
  • Lead architecture, strategy and roadmap for the CV platform and AI infra.
  • Manage and scale a distributed organization across geographies.
  • Own end-to-end MLOps: training, deployment, monitoring, optimization.
  • Define performance metrics and drive continuous improvement.
  • Evaluate new CV research and mitigate technical risks.

Skills

Computer Vision
MLOps
Leadership
Strategic planning
Cross-functional collaboration

Education

Bachelor's degree

Tools

MLOps tools

Job description

Motorola Solutions seeks a Director of Computer Vision to shape the technical vision and drive engineering for our CV platform. You will lead an enterprise-scale team across geographies, defining architecture, strategy, and a robust AI infrastructure with focus on scalable, edge-to-cloud deployment.

You will own the end-to-end MLOps lifecycle, establish performance metrics, and translate ambiguous customer needs into executable roadmaps while fostering innovation and risk management.

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