Sr Staff / Staff Applied Scientist
Core
Architecting end-to-end computer vision pipelines for real-time safety detection on millions of edge devices in the physical world.
Role type
Sr Staff Applied Scientist (Computer Vision)
Builds
Real-time perception systems for vehicle safety and fleet operations
Domain
IoT, Computer Vision, Autonomous Driving
Deliverable
production ML models
Required skills
Computer vision (object detection, tracking, segmentation), Multimodal perception and sensor fusion, Transformer-based architectures, Edge ML optimization, Systems design from research to production, Technical leadership and mentorship
Preferred skills
Perception for driver assistance/fleet safety, Publications/patents at top-tier venues (CVPR, ICCV, NeurIPS)
Technologies
Transformers, Vision-language models (VLMs/VLAs), Multimodal data (video, sensor, telematics)
Responsibilities
Architect end-to-end computer vision pipelines for real-world safety detection, Drive the technical roadmap for edge and cloud perception, Partner with hardware and firmware teams to co-design the full stack, Work with petabyte-scale multimodal data to train and iterate on production models, Stay at the frontier of CV research and translate findings into shipped product, Mentor and technically guide senior scientists and engineers
Seniority
Sr Staff, technical thought leader and architect
