Sr. Applied Scientist, Ads Agent, Full Funnel Agentic Models

Amazon • Sunnyvale, CA

34d

About The Position

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. 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 are seeking an experienced Applied Scientist passionate about building
intelligent agents that reason, plan, and act across complex advertising
workflows.

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. With a broad mandate to
experiment and innovate, we need applied scientists to define and build the
future of advertising.

About the team
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 shape how millions of advertisers interact with Amazon Ads, come build
with us.

Requirements

• 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

Nice To Haves

• Experience building and evaluating agentic systems (e.g., tool-use agents, multi-step planners, autonomous workflows).
• Deep understanding of generative modelling and large language models including transformers, pre-training, fine-tuning, RLHF, retrieval-augmented generation, and structured decoding.
• Experience with personalization, recommendation systems, or systems that learn from user feedback.
• Familiarity with advertising technology, campaign optimization, or marketplace dynamics.
• Track record of publications at top-tier venues (NeurIPS, ICLR, ICML, etc.).

Responsibilities

• Design, build, and evaluate agentic systems that plan multi-step workflows, invoke tools, and take autonomous actions across Amazon Ads products on behalf of advertisers.
• 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, measure effectiveness, and derive business insights.
• Partner with engineers, product managers, and UX designers to ship end-to-end agent experiences that are scalable, efficient, and reliable at Amazon scale.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level