Senior Applied Scientist — Seattle, WA at Amazon

About the Team

Amazon Ads is building Ads Agent, an AI-powered agent that understands advertiser intent, reasons over campaign strategy, and executes across the full Amazon Ads portfolio. We are a small, fast-moving team building a unified AI-native interface to all of Amazon Advertising. We sit at the intersection of large language models, agentic AI, and one of the world's most complex advertising ecosystems.

If you want to work at the frontier of agentic AI and large language models while directly impacting a multi-billion dollar business, this is your team. We need applied scientists to define and build the future of advertising, shaping how millions of advertisers interact with Amazon Ads.

About the Role

Ads Agent is an AI agent that simplifies how advertisers plan, launch, and optimize campaigns. Powered by AI, Ads Agent works alongside advertisers to automate time-consuming tasks, like identifying targeting segments, adjusting pacing across hundreds of campaigns, and generating SQL queries for advanced analytics. It also provides data-driven recommendations and simplifies analysis—all while providing transparency and control.

We are seeking an experienced Applied Scientist passionate about building intelligent agents that reason, plan, and act across complex advertising workflows. With a broad mandate to experiment and innovate, you will partner with engineers, product managers, and UX designers to ship end-to-end agent experiences that are scalable, efficient, and reliable at Amazon scale.

Hiring Process

To join our team, please submit your application through the Amazon Jobs portal. Our process is designed to evaluate both technical depth and cultural fit.

Equal Opportunity

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 amazon.jobs for more information.

Work location

Work model: On-site

301, Union Street, Central Business District, Belltown, Seattle, King County, Washington, 98101, United States

Seattle, Washington

Key Responsibilities

check_circleDesign, build, and evaluate agentic systems that plan multi-step workflows and take autonomous actions
check_circleDefine evaluation frameworks and benchmarks for agent reliability, correctness, safety, and advertiser satisfaction
check_circleAnalyze agent behavior through deep data analysis and rigorous A/B experimentation to identify failure modes
check_circlePartner with engineers, product managers, and UX designers to ship scalable and reliable end-to-end agent experiences
check_circleDevelop machine learning models for business applications involving large language models and agentic AI

Requirements

verified3+ years building machine learning models for business application
verifiedPhD or Master's degree with 6+ years applied research experience
verifiedExperience programming in Java, C++, or Python
verifiedExperience with neural deep learning methods and machine learning
verifiedExperience with modeling tools (R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy)
verifiedExperience with large scale distributed systems (Hadoop, Spark)

Benefits & Perks

check_circleHealth insurance including medical, dental, vision, prescription, Basic Life & AD&D, and Supplemental life planscheck_circleEmployee Assistance Program (EAP), Mental Health Support, and Medical Advice Linecheck_circleFlexible Spending Accountscheck_circleAdoption and Surrogacy Reimbursement coverage401(k) matching

Skills, education and keywords

Skills: Java, C++, Python, Neural Deep Learning, Machine Learning, R, Scikit-Learn, Spark Mllib, Mxnet, Tensorflow.

Education: PhD required; Master's degree with 6+ years of applied research experience.

Frequently asked questions about Senior Applied Scientist, Funnel Agentic Intel at Amazon

What does a Senior Applied Scientist, Funnel Agentic Intel at Amazon do?expand_more

In this Senior Applied Scientist, Funnel Agentic Intel at Amazon role, you will design, build, and evaluate agentic systems that plan multi-step workflows and take autonomous actions; define evaluation frameworks and benchmarks for agent reliability, correctness, safety, and advertiser satisfaction; analyze agent behavior through deep data analysis and rigorous a/b experimentation to identify failure modes; and partner with engineers, product managers, and ux designers to ship scalable and reliable end-to-end agent experiences.

What are the requirements for this Senior Applied Scientist, Funnel Agentic Intel role?expand_more

Amazon is looking for candidates who meet the following requirements: 3+ years building machine learning models for business application; PhD or Master's degree with 6+ years applied research experience; Experience programming in Java, C++, or Python; Experience with neural deep learning methods and machine learning; Experience with modeling tools (R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy); and Experience with large scale distributed systems (Hadoop, Spark).

Where is the Senior Applied Scientist, Funnel Agentic Intel role at Amazon located?expand_more

Senior Applied Scientist, Funnel Agentic Intel at Amazon is based in 301, Union Street, Central Business District, Belltown, Seattle, King County, Washington, 98101, United States. This is a on-site role.

Is this Senior Applied Scientist, Funnel Agentic Intel job remote, hybrid, or on-site?expand_more

Amazon has listed this Senior Applied Scientist, Funnel Agentic Intel role as on-site.

How much experience is required for this Senior Applied Scientist, Funnel Agentic Intel role?expand_more

Senior Applied Scientist, Funnel Agentic Intel at Amazon typically requires 3+ years of relevant experience at the senior level.

What skills do you need for the Senior Applied Scientist, Funnel Agentic Intel role at Amazon?expand_more

Key skills for Senior Applied Scientist, Funnel Agentic Intel at Amazon include Java; C++; Python; Neural Deep Learning; Machine Learning; R; Scikit-Learn; and Spark Mllib.

What education is required for Senior Applied Scientist, Funnel Agentic Intel at Amazon?expand_more

Educational requirements for this role: PhD required; and Master's degree with 6+ years of applied research experience.

What category does the Senior Applied Scientist, Funnel Agentic Intel role belong to?expand_more

Senior Applied Scientist, Funnel Agentic Intel at Amazon is part of the it job category on Recrutus.

Senior Applied Scientist, Funnel Agentic Intel