Personalized Recommendation Systems Engineer

1 week ago


Singapore beBeeRecommendation Full time $80,000 - $120,000
Job Description

We are seeking a skilled Personalized Recommendation Systems Engineer to join our team. As a key member of our recommendation system, you will be responsible for designing and developing fast iteration solutions for product and business needs.

Key Responsibilities
  • Design and develop core backend recommendation systems enabling fast iteration for product and business needs.
  • Optimize performance of online serving engines, recall/ranking modules, and offline data pipelines.
  • Contribute to building reusable system components and services supporting our centralized recommendation platform.
Requirements

To succeed in this role, you will need:

  • A Bachelor's/Master's degree in Computer Science, Software Engineering, or a related field.
  • A strong foundation in data structures, algorithms, and computer systems.
  • Solid coding ability with proficiency in C++/Golang/Python, and familiarity with Linux environments.
  • Interest in distributed systems, high-concurrency architectures, and scalable backend design.
  • Strong problem-solving, communication, and teamwork skills.
  • Self-driven, eager to learn, and motivated to work on challenging technical problems.
Benefits

As a member of our team, you can expect:

  • Gain hands-on experience in building large-scale backend systems.
  • Learn and research industry trends in recommendation and backend technologies.
About the Team

Our team builds and maintains Shopee's recommender system, which powers personalized shopping experiences for millions of users daily.



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