Director, Vision AI Platform & ML Ops

Motorola Solutions

Salt Lake City (UT)

On-site

USD 250,000 - 290,000

Full time

14 days+
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Benefits offered by this job

Incentive Bonus
Health benefits
401K match
Paid holidays
Stock Purchase Plan
Parental leave

Job summary

Motorola Solutions is seeking a Director of Computer Vision to drive the technical vision and deliver scalable, AI-powered video analytics platforms. You will lead a global organization, shape architecture, and oversee end-to-end machine-learning deployment across edge and cloud environments.

The role requires 10+ years of leadership in computer vision, deep expertise in CV/AI, and strong talent management with a startup-mentality, delivering high-impact results in complex, mission-critical

Qualifications

  • 10+ years of technical leadership in computer vision teams.
  • Hands-on CV, ML, and MLOps lifecycle experience.
  • Experience defining architecture for central, reusable AI infrastructure.
  • Proven track record leading 50–100 person teams across geographies.
  • Startup mindset with ownership, bias for action, and comfort with ambiguity.

Responsibilities

  • Define the long-term computer vision research agenda and technical strategy.
  • Lead a unified research and engineering organization with architecture and roadmap for CV platform.
  • Scale distributed teams, mentor senior talent, and drive recruiting.
  • Own end-to-end MLOps and deployment lifecycle across edge and cloud.
  • Establish and monitor performance metrics like latency, throughput, and reliability.
  • Identify and mitigate significant technical risks and guide critical build-versus-buy decisions.

Skills

Computer Vision
MLOps
Leadership
Architectural Vision
Executive Strategy
Metrics
Distributed Teams
Research & AI

Education

Bachelor's degree

Job description

Motorola Solutions is seeking a Director of Computer Vision to drive the technical vision and deliver scalable, AI-powered video analytics platforms. You will lead a global organization, shape architecture, and oversee end-to-end machine-learning deployment across edge and cloud environments.

The role requires 10+ years of leadership in computer vision, deep expertise in CV/AI, and strong talent management with a startup-mentality, delivering high-impact results in complex, mission-critical

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