About This Role
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
Originally posted on Himalayas