Backend Engineer - TikTok ShortText Recommendation Architecture

TIKTOK PTE. LTD.; Singapore; Sur place; SGD 120 000 - 180 000; Plein temps

Résumé du poste

TikTok is hiring for a Recommendation Architecture Engineer in Singapore. You will build and optimize the architecture for our recommendation system to deliver stable, high-quality experiences for TikTok users.

You will contribute to computing frameworks, data pipelines, and scalable storage systems, collaborating with global teams to improve search, personalization, and overall platform performance.

Qualifications

• 3+ years of experience building scalable systems.
• Proficiency in programming languages: C, C++, Java or Golang.
• Effective communication skills and a sense of ownership and drive.
• Experience in personalized recommendations, search, ML, or big data is a plus.

Responsabilités

• Build and maintain high-performance online services for TikTok recommendation system.
• Develop efficient data pipelines for candidate and profile generation, training examples, and real-time training.
• Create a globalized, large-scale recommender system.
• Design and develop high-performance computing frameworks and storage systems.

Connaissances

C/C++/Java/Golang

Communication

Ownership

Diversity/ML concepts

Formation

Bachelor's degree in Computer Science or related field

Description du poste

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

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.