Computer Vision Engineer

• H elp build and continuously improve algorithms and analytics for detecting, classifying, and tracking objects and phenomena in streets
• Collaborate with the rest of the engineering and product team to extend and improve our product s capabilities
• Work on a privacy-first pipeline for benchmarking the company s detection and tracking algorithms
• Optimize the platform for faster execution
• Work on building new training sets
• Improve the existing detection and tracking algorithms
• Implement existing algorithms into the sensor applications (C++/Python/TensorRT)

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 2+ years of experience in building continuous model benchmarking and deployment pipelines
• Strong knowledge of image processing and machine learning techniques
• Must have extensive experience in Python, C++, OpenCV, NumPy, TensorFlow, and PyTorch
• Solid foundation in linear algebra and statistics
• Experience in developing object detection and tracking algorithms
• Experience in benchmarking, testing, and monitoring model performance
• Experience in leading large initiatives end-to-end
• The ability to make well-reasoned design decisions and tradeoffs for complex projects
• Prior working experience with AWS, Docker, Linux, and Serverless
• Nice to have some knowledge of HTTP, MQTT, GitHub, Slack, G Suite, CI/CD pipelines, and Clubhouse
• Ability to communicate highly complex technical subjects to other team members in ways that encourage collaboration and teamwork