Technical SETA SME - Computer Vision
Core
Subject Matter Expert supporting the lifecycle of research programs, specifically developing algorithms to automatically track and match objects across video feeds from uncoordinated sensors.
Role type
Senior IC Computer Vision Research Engineer (Test & Evaluation)
Builds
Production ML models for object tracking and matching across multi-sensor video feeds
Domain
Defense/Security, Computer Vision, Machine Learning
Deliverable
production ML models
Required skills
Computer vision research & development, Machine learning, Deep learning, Multidisciplinary team management, Program planning, WBS creation, Milestone scheduling
Preferred skills
Large spatiotemporal data architectures, IRB process, OpenMPF, Deploying computer vision analytics at scale, Large-scale video collection/annotation, Video geo-localization, Video re-identification
Technologies
OpenMPF
Responsibilities
Attend meetings, workshops, conferences, and testing events as a Subject Matter Expert; Assist with development of presentations for Program Management Reviews; Serve as a liaison between Performers, Test & Evaluation contributors, Government, and Transition partners; Review, analyze, and make recommendations on technical reports and data; Examine data sources for emerging technology; Provide technical support on new concepts; Support PM with assigned Seedlings, Studies, or Challenges
