Senior Applied Scientist, Frontier AI Assets - Assessments (FAI)

Amazon's Artificial General Intelligence (AGI) organization builds frontier models and the AI agents on top of them, and every one of them depends on data we can trust. The Frontier AI (FAI) Assessment Basic qualifications: - 5+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - PhD in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience building complex software systems that have been successfully delivered to customers - Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience designing or architecting (design patterns, reliability and scaling) of new and existing systems Preferred: - Working knowledge of the public benchmarks used to evaluate frontier AI models and agents, and of their limitations - Experience designing large-scale human data collection and improving the quality of the datasets - Experience with the data pipelines behind model post-training and alignment - Experience in developing recursive self-improving agents based on frontier LLMs - Publication record at top-tier machine learning venues such as ICML, ICLR, CVPR, NeurIPS, AAAI, EMNLP, Interspeech, ICASSP - Experience in an academic research or teaching position, such as professor, lecturer, or postdoctoral researcher Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. 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 . USA, WA, BELLEVUE - 167,100.00 - 226,100.00 USD annually