Applied Scientist, WHS Data-Tech
Core
Design, develop, and deploy computer vision and machine learning models to reduce workplace safety incidents by analyzing video, image, and sensor data.
Role type
Senior Applied Scientist (Computer Vision & Safety)
Builds
Production ML models for activity recognition, anomaly detection, pose estimation, and risk prediction
Domain
Workplace Health & Safety / Computer Vision / Deep Learning
Deliverable
production ML models
Required skills
Deep learning, computer vision, model architecture design, large-scale data experimentation, Java/C++/Python programming, algorithms and data structures, numerical optimization, parallel and distributed computing
Preferred skills
Unix/Linux usage, professional software development experience
Technologies
Deep learning frameworks, video/image/sensor data pipelines
Responsibilities
Design and iterate on model architectures for safety tasks; collaborate with engineers to productionize models optimizing for latency and accuracy; analyze operational data to identify safety risk patterns; stay current with CV and deep learning research; communicate technical approaches to stakeholders
Seniority
Senior, hands-on IC
