Machine Learning Engineer

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תיאור משרה

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

דרישות תפקיד

  • 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

workהגשת מועמדות

eBay

על החברה

במרכז המחקר והפיתוח הישראלי של eBay קרוב ל-300 עובדות ועובדים. רוב העבודה נעשית תחת חטיבת Structured Data (מידע מובנה), שאחראית להפוך את חוויית הקנייה באתר לאחידה, על ידי יצירת עמודי מוצר בצורה אוטומטית ורחבת היקף. ב-eBay כבר לא מדובר ב-Big Data, אלא ב-Huge Data, בהתחשב בעובדה כי בכל רגע נתון זורמת בפלטפורמה כמות Data של 1.5 מיליארד פריטים שזמינים למכירה באתר.

account_balanceעוד על eBay