Recommendation System Engineer


  • Responsible for the research and development of pipeline and algorithm for ads recommendation system in both e-commerce and news-media domain.
  • Design, train, deploy and monitor models
  • Think of creative ways to improve solutions that are already in place
  • Come out new feature ideas and design real-time data pipelines to incorporate them into our models

Key Qualifications

  • Strong communication and teamwork skills
  • Passion about technologies and solving challenging problems
  • Very comfortable with Mathematics, Probability, Statistics
  • Relevant industry experience in developing/training/deploying ML models is highly preferred.
  • Industry experience in the field of data
  • Solid hands-on experience with Pytorch/TensorFlow

Additional Requirements

  • Experience in real-time model inference is a plus
  • Excellent coding and code development ability, familiar with Linux, proficient in any language of python/golang//Javascript/C++
  • Strong ability for learning new technologies related to Big Data Processing and Data Management.
  • Experience with Spark and Kafka is a plus
  • Experience in using open source frameworks to build applications is a plus
  • Experience in using K8S to build applications is a plus