Job ID: 10380934 | Amazon Development Center U.S., Inc. Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their data and knowledge. Combining generative AI-powered search, deep research capabilities, intelligent agents and automations, and comprehensive business intelligence, Quick Suite serves tens of thousands of users. Our platform processes thousands of queries monthly, helping teams make faster, data-driven decisions while maintaining enterprise-grade security and governance. From natural language interactions with complex datasets to automated workflows and custom AI agents, Quick Suite is redefining workplace productivity at unprecedented scale. Key Job Responsibilities In this role, you will leverage data-centric AI principles to assess the impact of data on model performance and the broader machine learning pipeline. You will apply Generative AI techniques to evaluate how well our data represents human language and conduct experiments to measure downstream interactions.
Design and develop comprehensive evaluation and benchmarking datasets for Quick Suite AI-powered features Leverage LLMs for synthetic data corpora generation; data evaluation and quality assessment using LLM-as-a-judge settings Create ground truth datasets with high-quality question-answer pairs across diverse domains and use cases Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance Develop and refine annotation guidelines and quality frameworks for evaluation tasks Conduct statistical analysis to measure model performance, identify failure patterns, and guide improvement strategies Collaborate with ML scientists and engineers to translate evaluation insights into actionable product improvements Build scalable data pipelines and tools to support continuous evaluation and benchmarking efforts Contribute to Responsible AI initiatives by developing safety and fairness evaluation datasets
Basic Qualifications
2+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience 1+ years of working with or evaluating AI systems experience 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM) Experience applying theoretical models in an applied environment
Preferred Qualifications
Ph.D. in Science, Technology, Engineering, or Mathematics (STEM) Knowledge of machine learning concepts and their application to reasoning and problem-solving Experience in a ML or data scientist role with a large technology company Experience in defining and creating benchmarks for assessing GenAI model performance Experience working on multi-team, cross-disciplinary projects Experience applying quantitative analysis to solve business problems and making data-driven business decisions Experience effectively communicating complex concepts through written and verbal communication
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Base salary and benefits: The base salary range for this position is listed below. 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 also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for 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 about our benefits at https://amazon.jobs/en/benefits. Location and salary ranges: USA, CA, Santa Clara – $157,300.00 – $212,800.00 USD annually USA, NY, New York – $153,400.00 – $207,500.00 USD annually USA, WA, Seattle – $136,000.00 – $184,000.00 USD annually Posted: March 26, 2026 (Updated about 9 hours ago) #J-18808-Ljbffr