AmazonSr Applied Scientist, Ring AI
AI in this role
Build and deploy LLM-based autonomous agents for smart home security devices as an Applied Scientist on the Ring AI team.
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
How we rate this
Sr Applied Scientist, Ring AI at Amazon rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Tell me about a project where llm agents was part of your work. What did you do?
- Tell me about a project where reinforcement learning was part of your work. What did you do?
- Tell me about a project where multimodal models was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Agents, Fine Tuning, LLM Agents, Reinforcement Learning, and Multimodal Models. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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