Sr. Applied Scientist , Amazon Ads

Amazon is hiring a Sr. Applied Scientist , Amazon Ads in Seattle, United States. It pays $184k-$249k a year and Level rates it ; you can apply on Level.

AI in this role

Lead applied science research and development for AI-powered automation and intelligent advertiser support systems.

tensorflowscikit-learnjavacpython

ai-agentsmachine-learningapplied-scienceautonomous-agentsnlpartificial-intelligence

Amazon Ads is one of the fastest-growing businesses at Amazon, helping millions of advertisers — from first-time sellers to global agencies — reach customers at every stage of the shopping journey. Advertising Services' vision is that Amazon Ads is the ultimate partner for advertising customers. We deliver on this vision by building the internal tooling, automations, and platforms that enable efficient service delivery at scale — ensuring every advertiser, regardless of size or sophistication, has access to world-class support.

Are you excited about applying AI and machine learning to transform how a massive services organization operates? The Ad Services Engineering team builds and operates the systems that underpin the full spectrum of advertiser services — from self-service support experiences (Help content, Contact Us traffic patterns, knowledge bases) to managed campaign operations. We're investing in applied science to fundamentally change how advertisers get help, how campaigns get launched, how service teams find answers, and how we detect and resolve operational issues at scale. On the self-service side, we study patterns in Contact Us traffic, experiment with improving Help content effectiveness, and optimize the knowledge systems that power advertiser self-resolution. On the managed services side, we're building autonomous agents that handle low- and medium-judgment tasks currently performed by humans — freeing up Amazonians to focus on higher-value, strategic work. Across both, we're developing intelligent assistants and pioneering automated identification of product gaps from unstructured operational data — turning thousands of data points into actionable insights that drive product improvements.

As a Sr. Applied Scientist, you will be the science leader for AI-powered automation and intelligence within Advertising Services. You'll own the research and development of the machine learning systems that improve self-service advertiser experiences, power autonomous workflow agents, and drive operational intelligence — directly translating into higher self-service resolution rates, productivity gains measured in tens of thousands of hours annually, and measurable improvements in advertiser experience.

Basic qualifications

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

Preferred qualifications

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

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

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, NY, New York - 183,800.00 - 248,700.00 USD annually
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually

How we rate this

Sr. Applied Scientist , Amazon Ads 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.

Classification

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.

Key facts

Sr. Applied Scientist , Amazon Ads is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $184k-$249k a year.
The role is based in US, WA, Seattle.
The job was posted on September 10, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

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

AI agentsMachine learningApplied ScienceAutonomous AgentsNLPArtificial IntelligenceTensorFlowscikit-learn

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where applied science was part of your work. What did you do?
Tell me about a project where autonomous agents was part of your work. What did you do?
What NLP problem have you worked on, and how did you measure whether it actually worked?

Adapt your resume

List these exact terms on your resume: AI agents, Machine learning, Applied Science, Autonomous Agents, and NLP. 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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