Amazon Applied Scientist Store Tech 

China, Shanghai 

408766058

As an Applied Scientist for Search JP, you will design, implement and deliver search features on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation in NLP, LLM and Information Retrieval to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production search engine that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.Key job responsibilities
* Designing and implementing new features and machine learned models, including the application of state-of-art deep learning and GAI/LLM techniques to solve search matching, ranking, navigation and Search assistance and suggestion problems.
* Analyzing data and metrics relevant to the search experiences.
* Working with teams worldwide on global projects.

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- 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
- Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members
- 3+ years of building machine learning models or developing algorithms for business application experience

- Experience using Unix/Linux
- Experience in professional software development
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning