About the job
The Ring and Blink AI team (RBKS AI) is solving unique computer vision challenges at the intersection of edge computing, multi-modal sensor fusion, and visual language models. We process hundreds of millions of video events monthly across tens of millions of devices. We're looking for an Applied Scientist to tackle problems without off-the-shelf solutions.
Responsibilities
Drive applied research in on-device computer vision and multi-modal ML, including object detection, tracking, event classification, and visual language understanding
Balance innovation with pragmatism by shipping models that meet strict production requirements - latency, memory, power, and accuracy
Own the complete ML lifecycle, from problem formulation and dataset curation to model development, edge optimization, and production validation at scale
Advance the field by publishing novel techniques, filing patents, and contributing to the research community while delivering production-ready models
Qualifications
Minimum
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
3+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
Experience programming in Java, C++, Python or related language
Preferred
Experience in professional software development
Experience applying theoretical models in an applied environment