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AI Job Summary

Design and deploy LLM-based agents that plan multi-step tasks using Ring device data, tools, and services. Advance agent capabilities in planning, tool use, and learning from feedback, working from Sunnyvale. You'll need a PhD or equivalent research experience, hands-on work building LLM agents, strong Python skills, and a track record moving ML research to production. Base salary $192,200–$260,000 annually.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

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.

Key job 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.

Basic qualifications

- 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

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually
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  • Role Sr Applied Scientist, Ring AI
  • Experience 3-4 years
  • Education PhD, or equivalent experience
  • Work type On-site
  • Location United States
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Amazon
Consumer Apps & Media · 500+ Members · Seattle, WA, United States

Amazon operates a broad portfolio spanning online retail, third-party marketplaces, logistics, cloud computing, advertising, devices, entertainment, and subscription services. Its consumer businesses include Amazon stores and Prime, while Amazon Web Services provides cloud infrastructure, databases, analytics, and AI services. The company also develops products such as Alexa and Kindle, produces and distributes media, and runs fulfillment and delivery networks. Amazon serves consumers, sellers, developers, enterprises, creators, and public-sector customers through interconnected commerce and technology platforms.

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23 more Applied Scientist roles in Sunnyvale

Job Overview

Approx. salary range

204K – 375K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 40 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
PhD, or equivalent experience
Experience
3-4 years

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