Amazon advertisers need advanced AI applications to help them create, optimize, and grow their campaigns autonomously. The current systems require improvement in guiding advertisers through complex workflows, leading to a need for agentic AI solutions that can reason, plan, and act independently.
Requirements
- Experience programming in Java, C++, Python or related language
- Experience in designing experiments and statistical analysis of results
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Responsibilities
- Design and build agents to guide advertisers in conversational and non-conversational experience.
- Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO).
- 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.
Other
- 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
- follow all federal, state, and local laws and Company policies
- exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation
