Ecommerce Recommendation Systems Developer

4 days ago


Singapore beBeeInnovation Full time $80,000 - $120,000

Our team is focused on building and optimizing the infrastructure for e-commerce recommendation systems to provide an excellent user experience.

As a member of our team, you will work closely with applied machine learning engineers to build scalable systems that support innovative algorithms and techniques.

Key Responsibilities
  • Build high-performance online services for e-commerce recommendation systems;
  • Develop efficient and reliable data pipelines for candidate generation, profile generation, training examples generation, real-time online training, etc.;
  • Design and develop large-scale globalized recommendation systems;
  • Research, design, and develop computer and network software or specialized utility programs.

Requirements:

  • Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline;
  • Effective communication skills and a sense of ownership and drive;
  • Experience programming in at least one of the following programming languages: C, C++, Java, or Golang;
  • Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.

Preferred Qualifications:

  • Agile, quick self-learner, highly self-motivated with strong sense of product ownership and creative problem solver;
  • Good collaborator and team player, comfortable working in a fast-moving, culturally diverse, and globally distributed team environment.

At TikTok, we are committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. We are passionate about diversity and hope you are too.



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