Sr Applied Scientist, Ring AI

About the role

Are you a passionate scientist who wants to build AI agents that make a real difference in people's lives? At Ring, our mission is to make neighborhoods safer, and we believe agentic AI will change how customers interact with their homes and communities. You'll invent agents that reason about real-world situations, take meaningful action, and keep customers in control, and then you'll see them reach millions of households. As an Applied Scientist, you'll work with talented peers to push the frontier of agentic AI. You'll build agents that turn the multimodal signals captured by Ring devices into understanding and action. You'll tackle open problems in planning, tool use, learning from feedback, and reliability, taking ideas from research all the way to deployment at scale. You'll collaborate with teams across Amazon to advance the science of customer experiences through highly optimized, integrated hardware and software platforms.

Responsibilities

• Design, develop, and deploy LLM-based agents that plan and carry out multi-step tasks for customers using tools, services, and device data.
• Advance the state of the art in agent capabilities such as planning, tool use, memory, and learning from feedback (e.g., RL and agent fine-tuning), and publish where appropriate.
• Partner with engineering, product, and science teams to turn research into agent-driven experiences that help keep homes and neighborhoods safer.

Requirements

• PhD or equivalent research experience
• Hands-on experience building LLM-based agents or agentic systems
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch
• A track record of taking ML research from prototype to production or publication

Preferred Qualifications

• Publications at top venues (e.g., NeurIPS, ICML, ICLR, ACL, CVPR)
• Experience with multimodal LLMs or vision-language models
• Experience with RL, preference learning, or fine-tuning LLMs for agent
• Experience designing agent evaluations, safety guardrails, or human-in-the-loop systems

Benefits

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• Paid time off
• Parental leave

Pay

The base salary range for this position is $192,200.00 - $260,000.00 USD annually (USA, CA, Sunnyvale). The Amazon package includes sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.