Senior Backend Engineer - Recommendation

Shopee
$60,114 - $76,118 a year
Singapore
1 week ago

Department Engineering and Technology
LevelExperienced (Individual Contributor)
LocationSingapore

The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.

About the Team:
Our team builds the recommender system at Shopee, and strives to provide the best online shopping experience for our users. You will have the opportunity to participate in designing and implementing advanced technical solutions with high performance, availability and scalability. If you are passionate in technology, then we welcome you to join us to build a high-performing recommender system.
Job Description:
  • Participate in the design and development of Shopee’s core backend recommendation systems, enabling fast iteration for products and business needs;
  • Optimize performance of online serving engines, recall/ranking modules, and offline data pipelines to enhance system efficiency;
  • Abstract and refine reusable system components and services, contribute to building a centralized recommendation platform to support business expansion;
  • Conduct research on industry trends in recommendation technologies and help apply and integrate cutting-edge advancements.
Requirements:
  • Bachelor's degree or above in Computer Science or related field;
  • 2+ years of hands-on experience in personalized recommendation, search, or ad recommendation systems;
  • Strong foundation in data structures and software development skills; proficient in Linux and strong coding skills in C++ or Golang;
  • Solid experience in designing high-concurrency architectures and strong capability in business abstraction, with broad technical insight and project expertise;
  • Excellent communication and collaboration skills, with a proactive attitude and strong sense of ownership;
  • Highly self-driven and resilient, with a passion for experimentation and business breakthroughs;
  • Willing to embrace challenging tasks and dedicate time and effort to excel.
Apply
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