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.As an Senior Applied Scientist on this team you will:
- Research and prototype LLM power 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.
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ 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 modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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