Applied Scientist II, Trustworthy Shopping Experience (TSE) Ops Product team
Are you excited about solving complex business problems at scale through Generative Artificial Intelligence (GenAI)? Are you fascinated by the application of Large Language Models (LLMs) in real-life scenarios? Are you looking to invent solutions using Artificial Intelligence (AI)? If so, we are looking for you to fill a challenging position on Amazon's Trustworthy Shopping Experience (TSE) team.
At TSE, our vision is to guarantee customers a worry-free shopping experience by earning their trust that the products they buy are safe, authentic, and compliant with regulations and policies, and giving them the confidence that Amazon stands behind every product and will make it right in the rare case anything goes wrong. We do this in close partnership with our selling partners and empower them with best-in-class tools and expertise to offer a high-quality, compliant product selection that customers trust. When we do this consistently, we help selling partners grow their business and achieve long-term success.
As a Senior Applied Scientist on the team, you will be responsible for delivering scientific solutions to automate complex manual investigation processes, especially leveraging LLMs. You will handle Amazon-scale use cases with significant impact on the cost of serving customers.
Key job responsibilities
1. You invent and design new solutions for scientifically complex problem areas and/or opportunities in existing or new business initiatives.
2. You design experiments and define the scientific approach to solve critical business use cases for automating manual work involving unstructured text, documents, images, symbols, etc.
3. Your work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined.
4. You drive or heavily influence the design of scientifically complex software solutions or systems, personally writing significant parts of the critical scientific novelty.
5. You provide a system-wide view and design guidance for solutions that can be new or evolve from existing ones.
6. You apply and set examples for best practices in software engineering, including systematic peer review of code.
7. You set standards and proactively drive components to use and improve state-of-the-art techniques.
8. You autonomously lead discussions with customers, engineers, and scientist peers, building consensus on larger projects and breaking down complex efforts into manageable tasks.
About the team
The Investigation Technology Product team in TSE handles human-in-the-loop products and technology used in Amazon's risk investigations. The team aims to reduce investigation costs by automating processes and optimizing manual interventions, leveraging state-of-the-art technology and GenAI to deliver its products and achieve its goals.
Minimum qualifications
* 3+ years of experience building models for business applications
* PhD or Master’s degree with 4+ years of CS, CE, ML, or related field experience
* Experience programming in Java, C++, Python, or related languages
* Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
* Experience using Unix/Linux
* Experience in professional software development
* Experience with patents or publications in top-tier peer-reviewed conferences or journals
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