Machine Learning Engineer II

This role involves building systems to predict future events and optimize marketplace efficiency. The work focuses on blending algorithms with human resourcefulness to create simplicity from complexity. It includes developing models to power solutions and creating platform tools for various teams. The position is part of a division that aims to make magic within the company's marketplace.

Candidates require a PhD, Master's degree, or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or a related quantitative field. A minimum of two years of industry experience as a Machine Learning Engineer or Research Scientist is necessary, with a strong focus on deep learning and probabilistic modeling. Proficiency in multiple object-oriented programming languages such as Python, Go, Java, or C++ is required.

Experience with technologies like Spark, Hive, Kafka, or Cassandra is also needed, along with a proven track record of building and product ionizing end-to-end Machine Learning systems. Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design is essential.