ML Engineer, Tracking

Flock Safety
Austin, GA
Remote
Job Description
Flock Safety is the leading safety technology platform, helping communities thrive by taking a proactive approach to crime prevention and security. We’re a high-performance, low-ego team driven by urgency, collaboration, and bold thinking. Working at Flock means tackling big challenges, moving fast, and continuously improving.

Requirements

  • 3+ years of industry experience in Deep Learning and Computer Vision
  • Experience with Computer Vision modeling, such as Object Detection, Multi-Object Tracking, etc.
  • Experience in metric learning, contrastive learning, and embedding-based ReID models
  • Experience with integrating tracking algorithms like SORT, DeepSORT, ByteTrack, FairMOT, or graph-based tracking into systems
  • Knowledge of probabilistic models (e.g., Kalman Filters, Bayesian filtering) and trajectory prediction.
  • Experience in working with hybrid systems of deployed devices working with cloud processing
  • Strong experience in Python
  • Experience leading projects from R&D to production
  • Experience with SQL
  • Basic Git knowledge
  • Basic Bash knowledge

Benefits

  • Flexible PTO
  • Fully-paid health benefits plan for employees
  • 12 weeks of 100% paid parental leave
  • Fertility & Family Benefits
  • Spring Health
  • Caregiver Support
  • Carta Tax Advisor
  • ERGs
  • WFH Stipend
  • Productivity Stipend
  • Home Office Stipend
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