Senior Applied Research Scientist
5 days ago
We are seeking an exceptional Senior Applied Scientist to join our team of experts in the field of machine learning, and work together to tackle challenging problems across diverse compliance domains.
We leverage and train state-of-the-art multi-modal and large-language-models (LLMs) to detect illegal and unsafe products across the Amazon catalog. Our team works on machine learning problems for multi-modal classification, intent detection, information retrieval, anomaly and fraud detection, and generative AI.
Key Responsibilities- Design and evaluate state-of-the-art algorithms and approaches in multi-modal classification, large language models (LLMs), intent detection, information retrieval, anomaly and fraud detection, and generative AI
- Translate product and CX requirements into measurable science problems and metrics
- Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact
- Key author in writing high quality scientific papers in internal and external peer-reviewed conferences
As a Senior Applied Scientist, you will work in a highly collaborative environment where you can analyze and process large amounts of image, text and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale.
Our team is committed to delivering scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research.
About the TeamWe are a team of applied scientists building AI/ML solutions to make Amazon Earth's most trusted shopping destination for safe and compliant products.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 5+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with conducting research in a corporate setting
PREFERRED QUALIFICATIONS
- Experience with large scale machine learning systems such as integration and profiling of large scale ML solutions
- Experience with various AWS tools and services related to ML applications (Sagemaker, ECS, EMR,...)
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