Sr Applied Scientist, Ring AI
Core
Design, develop, and deploy LLM-based agents that reason about real-world situations, plan multi-step tasks, and take action using tools and device data to enhance home and neighborhood safety.
Role type
Senior Applied Scientist (Agentic AI)
Builds
Agentic AI systems integrated with Ring hardware and software platforms
Domain
Consumer IoT, Home Security, Agentic AI
Deliverable
production ML models
Required skills
LLM-based agent development, Python, deep learning frameworks (PyTorch), research-to-production pipeline, multi-step task planning, tool use, learning from feedback (RL), agent fine-tuning
Preferred skills
Multimodal LLMs, vision-language models, RL, preference learning, human-in-the-loop system design, agent evaluation frameworks
Technologies
PyTorch, LLMs, RL, vision-language models
Responsibilities
Design and deploy LLM-based agents for multi-step tasks; advance state-of-the-art in agent capabilities like planning and memory; partner with engineering and product teams to integrate research into customer experiences
Seniority
Senior, hands-on IC