Posted on: 06/04/2026
Description :
a. Ego-centric video pipelines (wearables, AR/VR, robotics)
b. Real-time perception systems
- Drive alignment across :
a. ML Engineers
b. Computer Vision teams
c. Data annotation teams
d. Product & hardware teams
- Define and track :
a. Program roadmap
b. Milestones, dependencies, risks
c. Model performance metrics (accuracy, latency, reliability)
- Own data strategy for ego-centric systems :
a. Data collection (first-person video)
b. Annotation workflows
c. Dataset quality & scale
- Partner with engineering to :
a. Translate research - production systems
b. Ensure scalability & deployment readiness
- Identify bottlenecks in :
a. Model training pipelines
b. Data pipelines
c. Real-time inference systems
Must-Have :
- 3 to 7 years in Technical Program Management / Engineering Program Management
- Strong exposure to :
a. Computer Vision systems
b. AI/ML product development lifecycle
- Experience working with :
a. Video-based ML systems
b. Real-time or near real-time systems
- Strongly Preferred (This is where you differentiate) :
a. Hands-on experience with ego-centric video systems
b. First-person datasets (wearables, AR/VR, robotics)
- Familiarity with :
a. Egocentric Vision
b. Simultaneous Localization and Mapping
c. Visual Odometry
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