Applied Scientist II, Sponsored Products Global Optimization

Amazon; Berwick (Columbia County); On-site; USD 171,600 - 222,200; Full time

Benefits offered by this job

Sign-on bonus

RSUs

Job summary

Amazon's Sponsored Products Global Optimization team is seeking an Applied Scientist II to design agentic architectures, develop tools and datasets, and build systems that can reason, plan, and act autonomously across advertiser workflows at global scale.

You will advance agent ecosystems by experimenting with tool orchestration, multi-step reasoning, and adaptive preference-driven behavior, collaborating with scientists, engineers, and product managers to bring innovations into production.

Qualifications

• PhD or Master’s degree with 4+ years in CS/ML.
• 3+ years building models for business applications.
• Experience programming in Java, C++, Python.

Responsibilities

• Design and build agents that improve advertiser experiences globally.
• Design and implement optimization techniques for models and agents at global scale.
• Collaborate with engineers and product managers to bring scientific innovations into production.
• Stay current with LLMs, RL research and translate findings into practical applications.

Skills

Java

C++

Python

Education

PhD or Master’s degree

Job description

Applied Scientist II, Sponsored Products Global Optimization

Job ID: 10479345 | Amazon.com Services LLC

Global Optimization is a strategic initiative aimed at improving Amazon advertisers' experience at a global scale. 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 reason, plan, and act autonomously across complex advertiser workflows at global scale. You will work at the forefront of applied AI, developing methods for fine‑tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, 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 Responsibilities

• Design and build agents that improve advertiser experiences globally.
• Design and implement advanced model and agent optimization techniques, including supervised fine‑tuning, instruction tuning, and preference optimization (e.g., DPO/IPO).
• Design and implement optimization models that work at global scale, taking into account nuances of multiple countries.
• Innovate new science models to help advertisers scale their campaigns globally.
• Curate datasets and tools for MCP.
• 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, optimization, 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 Amazon.com and beyond. We are at the forefront of reinventing 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.

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.

Preferred Qualifications

• Experience in professional software development.
• Experience in state‑of‑the‑art deep learning models architecture design and deep learning training, optimization, and model pruning.
• Experience with LLMs, AI agents, MCPs, Chain of Thought reasoning.

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

The base salary range for this position is 171,600.00 – 222,200.00 USD annually. 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 offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and optional 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 at https://amazon.jobs/en/benefits.