Applied Scientist II, Sponsored Products Global Optimization
About the role
The Global Optimization 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 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.
Responsibilities
Design and build agents that improve advertisers 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
Requirements
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
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
Experience with LLMs, AI Agents, MCPs, Chain of Thought reasoning
Skills
Experience in applied AI, reinforcement learning, and preference optimization
Ability to work independently on ambiguous technical problems
Strong collaboration skills with scientists, engineers, and product managers
Knowledge of latest research in LLMs, RL, and agent-based AI, optimization
Benefits
Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.