Backend Engineer, TikTok Recommendation Architecture

TIKTOK PTE. LTD.; Singapore; Presencial; SGD 120 000 - 180 000; Tempo integral

Resumo da oferta

TikTok is hiring for its Recommendation Architecture Team in Singapore. You will build and optimize high‑performance online services for its recommendation system, and create robust data pipelines for candidate generation, profiling and real-time training.

You’ll help design scalable storage and compute frameworks while collaborating with hardware and software teams. Ideal candidates have a CS degree, experience in scalable systems, and proficiency in C, C++, Java or Golang.

Qualificações

• Bachelor’s degree or above in Computer Science or related fields.
• Experience building scalable systems.
• Experience programming in C, C++, Java or Golang.

Responsabilidades

• Build and maintain high performance online services for recommendation system.
• Build efficient data pipelines for candidate/profile generation and training examples.
• Develop globalized large‑scale recommendation systems and computing frameworks.
• Research and develop software and storage systems; work with hardware software integration.
• Analyse user needs and design software solutions using CS and engineering principles.

Conhecimentos

Scalability

Communication

Ownership mindset

Formação académica

Bachelor’s degree or above in Computer Science or related fields

Ferramentas

C

C++

Java

Golang

Descrição da oferta de emprego

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.

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

Career growth opportunity, Paid leave, Flat organization

Responsibilities

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

About The Team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.

Responsibilities

• Build and maintain high performance online services for 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
• Research, design, and develop computer and network software or specialised utility programs
• Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures
• Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements

Qualifications

Minimum Qualification(s)

• Bachelor's degree or above, majoring in Computer Science, or related fields,
• Experience building scalable system;
• Experience programming in at least one of the following programming languages: C, C++, Java or Golang;

Preferred Qualification(s)

• Effective communication skills and a sense of ownership and drive;
• Experience in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.