In this role you will be a part of eBay’s 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 eBay 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.
Primary Job Responsibilities
Play a key role in leading the design and implementation of key systems of one of the world's largest internet and eCommerce companies - meeting the most challenging requirements around scalability, availability and big data processing.
Responsibilities will include:
- Design and implement the testing framework and CI/CD process for the system
- Take ownership and help drive the team and group efforts
- Working with scientists and other engineers to investigate design approaches, prototype new technology, and evaluate technical feasibility
- Working in an agile environment, constantly strive to increase the team’s productivity and velocity
