FAI Assessment is part of Frontier AI Assets in AGI. We assess the quality of the datasets and benchmarks behind Amazon's frontier models and agents, and we define what good data means. Today that work relies on human-in-the-loop review by domain experts. Our aim is to automate it with self-improving agents that experts keep calibrated. We are a small team of scientists working closely with the data, modeling, and agent teams.
- 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
- 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
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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