Machine Learning / Data Engineer

San Jose, California Requisition Number R0039155 Subsidiary eBay

Do you want to have a huge impact on eBay’s eCommerce business? Are you interested in solving business problems using Big Data technologies across a variety of eBay advertising channels? If you answered yes, the Marketing Science team at eBay is the right place for you. We are looking for rockstar Data Engineers to join our team.  You will be responsible for improving data solutions behind eBay's algorithms that drive customer traffic via Marketing channels. You will work with cutting-edge ML algorithms and platforms and one of the biggest datasets in the world. You’ll work with world-class data scientists and engineers. You’ll solve problems that have a direct impact on a multi-billion dollar business. Bring your ideas, energy, and dedication to reach and engage the next 100M eBay users.

Responsibilities:

  • Work with data scientists, engineers, and cross functional teams to produce high performance, scalable data engineering solutions

  • Develop data infrastructure to ingest and transform data from different sources at scale

  • Design and deploy (at production scale) useful features of eBay’s users and inventory from diverse data sources, including structured and unstructured data

  • Build and maintain batch and streaming data pipelines to discover relevant and interesting signals

  • Support integration and production deployments of machine learning models and pipelines in variety of platforms

  • Propose and implement data engineering improvements to improve ML model performance and drive business results

Requirements:

  • At least 4+ years of industry experience writing production level code (e.g., Python, Scala, PySpark, Java) 

  • Bachelor’s or Master’s in a relevant field, e.g. Computer Science, Applied Mathematics, Data Science, Electrical/Computer Engineering, Physics, other Engineering fields

  • Fluent in coding in at least one of the above languages; excellent understanding of computer science fundamentals, data structures, and algorithms. 

  • Familiar with software design patterns

  • Knowledge of SQL (SparkSQL) is required

  • Expert knowledge of modern data storage and messaging platforms and processing tools (Kafka, Spark, Hive, Hadoop, MapReduce, etc.)

  • Experience with streaming technologies (e.g. Spark streaming, Storm) and designing large scale streaming data pipelines using Flink and Kafka

  • Experience with DevOps technologies such as Docker and Kubernetes

  • Familiarity with workflow orchestration frameworks (KubeFlow, Airflow, Conductor, etc.)

  • Applied knowledge of machine learning methodologies and best practices highly preferred

  • Experience with ML algorithms and frameworks such as Kears, TensorFlow, PyTorch, XGboost, Scikit-learn highly preferred

  • Experience with Agile software development and CI/CD highly preferred

  • Strong analytical skills and data-driven decision making

  • Good verbal, written communication, and technical presentation skills

  • Self-starter;  able to adapt to emerging challenges and execute under ambiguity

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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:

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