About the job
We are seeking an Applied Scientist to help enhance and scale our support agent capabilities. You will build and improve models that power advertiser-facing interactions, contribute to our evaluation framework, and work alongside senior scientists and engineers to ship science into production.
Responsibilities
Enhance support agent capabilities across the broad suite of Amazon Advertising products — expanding coverage, depth of resolution, and advertiser task completion across Sponsored Products, Sponsored Brands, DSP, AMC, and more
Design and own the evaluation framework for agent quality — including automated LLM-based scoring of answer correctness, confidence calibration, and conversation-level resolution signals
Develop novel metrics that capture whether advertisers actually got the help they needed (beyond surface-level deflection rates)
Build and improve retrieval and generation models that power real-time advertiser interactions under strict latency SLAs
Drive multilingual science — improve non-English resolution rates through cross-lingual retrieval, translation quality modeling, and locale-aware evaluation
Partner with product, engineering, and business teams to productize research and inform roadmap decisions with data
Qualifications
Minimum
3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred
Experience using Unix/Linux
Experience in professional software development
Experience in advertising