Applied Scientist, TSI Science

Saved job description

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment?

If yes, then you may be a great fit to join the Amazon Selling Partner Trust & Store Integrity Science Team. We are looking for a talented scientist who is passionate to build advanced machine learning systems that help manage the safety of millions of transactions every day and scale up our operation with automation.

Key job responsibilities

Innovate with the latest GenAI/LLM/VLM technology to build highly automated solutions for efficient fraud detection, risk evaluation and automated operations

Design, develop and deploy end-to-end advance machine learning solutions with vision anf GenAi technologies in the Amazon production environment to create impactful business value

Learn, explore and experiment with the latest machine learning advancements to create the best customer experience

A day in the life

You will be working within a dynamic, diverse, and supportive group of scientists who share your passion for innovation and excellence.

You'll be working closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation.

You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the team's success.

Requirements: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

- Experience programming in Java, C++, Python or related language

- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing