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
Provide technical leadership on AI products/features, and develop and mentor junior scientists on the team

Basic Qualifications

PhD, or Master's degree and 8+ years of applied research experience
Proven expertise in developing and optimizing computer vision models, multimodal LLMs
Proficiency in Python or other script programming languages
5+ years hands‑on experience with computer vision and GenAI frameworks (e.g., PyTorch, Jax, etc.)

Preferred Qualifications

Experience dealing well with ambiguity, prioritizing needs, and delivering measurable results in an agile environment
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

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