In this role you will be a part of our global Buyer Experience research team. You will Combine strong software engineering principles with machine learning to build scalable learning workflows. Our team explores and provides solutions for extremely complex problems presented to hundreds of millions of users every day, by conducting research in the fields of Recommendation Systems, Machine Learning, NLP and Information Retrieval. We work closely with the product teams in order to bring state of the art technology to production. The main goal of the team is to bring personalized machine learning models to all our experiences, fitting the best experience to each of the hundreds millions of buyers. As a machine learning engineer you will be responsible for building the data collection pipelines, building the learning, testing and inference infrastructure and bringing the machine learning models to production.
Deep hand-on knowledge of Java application development, testing and frameworks
Significant experience in design and development of Internet-scale systems with massive amounts of data
Throughout understanding of Machine Learning and experience in deployment of ML models to production
Experience with Big Data environments - Hadoop, Spark, Kafka, DWH, Analytical databases etc.
Industry experience with standard AI and ML techniques, NLU and scientific thinking
Strong knowledge of micro-services architecture
Experience with Docker/Kubernetes
Proven ability of leading and delivering complex projects with multiple team dependencies
BSc in computer science/software engineering or other relevant education
Advantage: Python (sklearn), Airflow, Tensor Flow, MLib (Spark ML) and MLeap
High Tech, Internet related, Software