With more than 100 million active users, across more than 30 countries, and hundreds of millions of active product listings, eBay is the world’s most vibrant and dynamic online marketplace. Here at eBay, we do not have big data, we have HUGE data! So, if you are passionate about applying state of the art ML & big-data technologies for building disruptive solutions, working with live data of the largest inventory in the world, and conducting top-tier level research, we are the right place for you!
Our science teams explore and provide solutions for extremely complex problems that huge data can bring by conducting research in the fields of Machine Learning, NLP and Information Retrieval. We work closely with the product teams in order to bring state of the art technology to production while publishing the scientific work in top-tier conferences (NIPS, WWW, WSDM, SIGIR, EMNLP, and others)
Search Engine Optimisation (SEO) at eBay is a fun and stimulating environment, where every day you will be tackling challenges related to eBay’s global scale and unique breadth of inventory.
Your work will directly improve the experience of hundreds of millions of buyers and sellers, around the world as they interact with billions of listings.
eBay’s SEO teams are recognized as industry leaders, regularly piloting the latest initiatives in collaboration with the world’s largest search engines, and pioneering new research and technologies.
Primary Job Responsibilities
Play a key role in leading state-of-the art research activity of ebay’s SEO organization. Research and develop complex algorithmic solutions involving advanced algorithms and technologies in the field of Machine (Deep) Learning, NLP, and IR. You will be expected to stay up to date with the most recent developments and publications through attending conferences and conceiving ways for harnessing these towards our cause. Most importantly, you will play a key role in bringing the abstract ideas from the whiteboard to the physical world, working with a world-class team of scientists and engineers.
Responsibilities will include:
Take ownership and help drive the team and group’s scientific efforts.
Work as part of a team, exploring novel solutions for data-based problems, investigating a range of algorithmic approaches, and prototyping the best fitted solutions.
Stay up-to-date with the field advances, read papers, attend conferences and conceive new ways for harnessing these towards our cause.
Communicate your ideas clearly and concisely with scientists, engineers, management, and product.
MSc/PhD in computer science/software engineering or other relevant education.
Solid understanding of computer science fundamentals, data structures, and algorithms.
Significant Industry experience with AI/ML techniques and deployment to production (Advantage: work in Information Retrieval or Natural Language Processing).
Proven ability of leading and delivering complex research projects.
High proficiency in Python (sklearn, tensorflow, pytorch, MLlib) and/or Scala.
Significant advantage: experience with Big Data environments - Hadoop, Spark, DWH, Analytical databases etc.
Java, R, Docker, Kubernetes., Airflow/Azkaban, Kafka.
Experience in design and development of Internet-scale systems with massive amounts of data.
Meet the team:
Omer Geiger : SEO Science manager
Amir Harel : Head of R&D - SEO
Ido Guy : Chief Scientist of Israel
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 [email protected] We will make every effort to respond to your request for disability assistance as soon as possible.
For more information see: EEO is the Law Poster and EEO is the Law Poster Supplement