We are looking for an experienced Applied Scientist who is passionate for building machine learning solutions, and communicating science insights, and executing strategic projects. You will work with business partners to design, implement and launch machine learning solutions. You will innovate machine learning models and LLM to connect shoppers with brand ads via shopper intent understanding as well as brand ads interpreting. This is a unique opportunity to stand at the intersection of e-commerce, advertising and state-of-the-art machine learning techniques.Key job responsibilities
- Research and prototype LLM powered ad retrieval
- Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.- Perform hands-on analysis and modeling with very large data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Write code to bring models into production.
- 1+ years of building models for business application experience
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- 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 working with Large Language Modeling and Large Datasets
- Experience using Unix/Linux
- Experience in professional software development
- Experience with Advertising Technology
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