Applied Scientist II, Products and Brands - Advertiser and Strategies

Position: Applied Scientist II, Sponsored Products and Brands - Advertiser Growth and Strategies
Description

We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon advertisers. In this role, you will design agentic architectures, develop tools and datasets, and contribute to building systems that can autonomously research advertiser portfolios, reason over campaign performance data, and produce actionable optimization strategies without human direction. You will work at the forefront of applied AI, developing methods for multi-step analytical reasoning, ML-backed bid simulation, and preference optimization, while helping create evaluation frameworks that ensure accuracy, reliability, and trust at scale.

You will work backwards from the needs of advertisers-delivering customer-facing products that directly help them create, optimize, and grow their campaigns. Beyond building models, you will advance the agent ecosystem by experimenting with and applying core primitives such as tool orchestration, multi-step reasoning, and adaptive preference-driven behavior. This role requires working independently on ambiguous technical problems, collaborating closely with scientists, engineers, and product managers to bring innovative solutions into production.

Key job responsibilities

- Design and build agents for the Sponsored Products.

- Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO).

-  Curate datasets for model training and evaluation, and develop tools for agentic workflows (e.g., MCP tool definitions, data retrieval, simulation endpoints).

- Build evaluation pipelines for agent workflows, including automated benchmarks, multi-step reasoning tests, and safety guardrails.

- Develop agentic architectures (e.g., CoT, ToT, ReAct) that integrate planning, tool use, and long-horizon reasoning.

- Prototype and iterate on multi-agent orchestration frameworks and workflows.

- Collaborate with peers across engineering and product to bring scientific innovations into production.

- Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications.

About the team

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across  and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.

We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

Basic Qualifications

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

- 3+ years of building models for business application experience

- Experience programming in Java, C++, Python or related language

- Experience in designing experiments and statistical analysis of results

- Experience with AI/ML technologies

Preferred Qualifications

- Experience in professional software development

- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

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…