About the Role

This role involves designing and building agentic AI systems for Amazon advertisers, focusing on architectures like CoT, ToT, and ReAct. Responsibilities include developing optimization techniques, curating datasets, and building evaluation pipelines for safety and reliability. The position requires collaboration with engineers and product managers to bring AI innovations into production.

Key Responsibilities

• Design and build agents for advertiser guidance in conversational and non-conversational experiences
• Implement model optimization techniques including supervised fine-tuning and preference optimization (e.g., DPO/IPO)
• Curate datasets and tools for MCP and build evaluation pipelines for agent workflows
• Develop agentic architectures integrating planning, tool use, and long-horizon reasoning
• Prototype multi-agent orchestration frameworks and collaborate to bring innovations into production

Required Skills & Qualifications

Must Have:

• 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

Nice to Have:

• 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

Benefits & Perks

• Base pay ranging from $136,000 to $223,400/year depending on geographic market
• Equity, sign-on payments, and other forms of compensation as part of total compensation package
• Full range of medical, financial, and/or other benefits