The RBKS AI team is responsible innovating AI features for Ring and Blink cameras, with a mission to make our neighborhood safer. We are working in the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking AI Applied Scientists to work on initiatives that combine advanced computer vision and multimodal GenAI capabilities. This role offers a unique opportunity to shape next‑generation home security technology while advancing the field of AI algorithms and systems.
The team is focused on productizing research in computer vision and GenAI into products that benefit millions of customers worldwide, such as real‑time object detection, video understanding, and multimodal LLMs. We are at the forefront of developing AI solutions that seamlessly blend into our products while respecting privacy, delivering unprecedented levels of intelligent security experience.
Key job responsibilities

Design and develop advanced computer vision and GenAI models and algorithms for comprehensive video understanding, including but not limited to object detection, recognition and spatial understanding
Develop privacy‑preserving CV and GenAI models and systems, focusing on efficient fine‑tuning and on‑device and in‑cloud inference
Map product requirements into science solutions and deliver high‑quality science artifacts that ship to products
Collaborate with scientists, engineers, product/program managers and other cross‑functional teams

Basic Qualifications

3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top‑tier peer‑reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Proven expertise in developing and optimizing computer vision models, multimodal LLMs

Preferred Qualifications

Experience with hardware-software co‑design for CV and GenAI applications
Background in visual transformers, diffusion models, and multimodal generation
Expertise in real‑time computer vision systems and optimization techniques
Expertise in efficient training and deployment of vision models and multimodal large language models
Published research in top‑tier conferences (CVPR, ICCV, NeurIPS, ICML) focusing on computer vision and/or GenAI
Exceptional written and verbal communications skills

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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