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Backend Engineer, TikTok ShortText Recommendation Architecture

TIKTOK PTE. LTD.

Singapore

On-site

SGD 70,000 - 90,000

Full time

Yesterday
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Job summary

A leading tech company in Singapore seeks a skilled professional to join the Recommendation Architecture Team. You will be responsible for building and optimizing recommendation systems to enhance user experience. The ideal candidate holds a degree in Computer Science and has over 3 years of experience in scalable systems, programming expertise, and is passionate about data-driven solutions.

Qualifications

  • 3+ years of experience building scalable systems.
  • Effective communication skills required.
  • Experience in personalized recommendations or search engine is a plus.

Responsibilities

  • Build and maintain high performance online services for TikTok recommendation system.
  • Create efficient and reliable data pipelines for various processes.
  • Design and develop high performance computing frameworks.

Skills

Programming languages (C, C++, Java, Golang)
Communication skills
Ownership and drive

Education

Bachelor's degree in Computer Science or related fields

Tools

Big data frameworks
Machine learning tools
Job description
Overview

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is 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. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job highlights

Positive team atmosphere, Flat organization, Industry experts

Responsibilities

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok sponsorship of a visa.

About the team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for recommendation system to provide the most stable and best experience for our TikTok users. We cover almost all short-text recommendation scenarios in TikTok, such as search suggestions, the video-related search bar, and comment entities. Our recommendation system supports personalized sorting for queries, optimizing the user experience and improving TikTok's search awareness.

Responsibilities
  • Build and maintain high performance online services for TikTok recommendation system;
  • Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc;
  • Build globalized large-scale recommendation system;
  • Design and develop high performance computing frameworks and storage systems.
Qualifications

Minimum Qualifications

  • Bachelor's degree or above, majoring in Computer Science, or related fields, with 3+ years of experience building scalable system;
  • Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang;
  • Effective communication skills and a sense of ownership and drive;
  • 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.
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