This engineer will have a chance to solve a cutting-edge and very valuable problem at thousands of stores. Exposure to a cutting-edge AI problem and solution will be great for career prospects. The engineer will also gain access to edge IoT problem and solution sets and work alongside a handful of excellent and experienced technical leaders.
Compensation band: $75,000 - $90,000
Helping to build edge AI theft deterrence software from scratch wto supplement existing AI theft detection systems
Helping to build future iterations of the edge AI theft deterrence system
Experiment with and deploy off-the-shelf and custom ML and AI models for theft detection/deterrence
Work closely with cross-functional teams to ensure seamless integration of the edge AI theft deterrence prototype into existing security and surveillance systems.
Analyze data generated by the edge AI theft deterrence system to identify patterns, trends, and potential areas for improvement.
Implement optimization strategies based on data insights to enhance the efficiency and accuracy of theft detection algorithms.
Create comprehensive documentation for the developed AI models, algorithms, and system architecture.
Design and execute rigorous testing procedures to validate the effectiveness of the edge AI theft deterrence system under various scenarios.
Implement a continuous evaluation process to identify potential vulnerabilities or weaknesses in the system and proactively address them.
Need to have: Python, Unix/Linux skills
Need to have: Very smart, reliable, self-starter, independent and an excellent problem solver
Nice to have: 5+ years of experience
Nice to have: 2+ year of start up experience
Nice to have but not requirements: Embedded engineering, edge devices at scale, computer vision or machine learning, Dev Ops, ML Ops, Network engineering, video systems/engineering, entrepreneurial or work on side-projects or programming after hours
Subscribe to Rise newsletter