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Applied Machine Learning, Technical Lead

Netanya, Israel
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eBay

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)

eBay SEO

Search Engine Optimisation (SEO) at eBay is a fun and challenging environment, where every day you will be finding solutions for 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 techniques and ways of working. 

Primary Job Responsibilities 

Play a leading role in the design and implementation of the ML-based systems of eBay-SEO. You will be responsible for forming end-to-end solutions, and accordingly will be familiar with many of the components developed by the team. You will be tackling the most challenging requirements around scalability, availability and big data processing.

Responsibilities will include:

  • Take ownership and help drive the team and group ML-based efforts.

  • Work with scientists and engineers to explore novel POC solutions for data-based problems, investigate design approaches, prototype new technologies, and evaluate technical feasibility.

  • Design and implement the testing framework and CI/CD process for the system.

  • Work in an agile environment, constantly striving to increase the team productivity and velocity.

·        

Required Skills

  • Thorough understanding of ML and experience in deployment to production.

  • Proven ability of leading and delivering complex projects with multiple team dependencies. 

  • 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. 

  • 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.

  • BSc/MSc in computer science/software engineering or other relevant education.

  • Advantage: Airflow/Azkaban, sklearn, tensorflow, pytorch, MLlib, MLeap.

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 talent@ebay.com.  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

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