Machine Learning EngineerNetanya, Israel Requisition Number R0038522
With more than a billion active listings, tens of millions of daily transactions, conducted by tens of millions of sellers / hundreds of millions of buyers, across more than 30 countries, and 22 different currencies, comprised of a product catalog staggering in diversity - eBay is a marketplace like no other that has ever existed If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
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
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
View our accessibility info
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at firstname.lastname@example.org. We will make every effort to respond to your request for disability assistance as soon as possible.
For more information see: