Backend Engineer, TikTok Ecommerce Recommendation Infrastructure

TIKTOK PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

TikTok is hiring for an engineering role focused on building and maintaining high-performance services for the TikTok recommendation system. You will work on scalable data pipelines, globalized recommender systems, and cutting-edge computing frameworks.

The role requires a CS degree and experience with C/C++, Java, or Golang, plus strong communication and ownership. E-commerce and ML experience are a plus for this team.

Qualifications

• Bachelor's degree in Computer Science or related field is required.
• Experience with C/C++, Java or Golang is required.
• Strong communication and ownership mindset are essential.
• Experience in recommendations, search, ML, or big data is a plus.

Responsibilities

• Build and maintain high performance online services for TikTok recommendation system.
• Build efficient and reliable data pipelines for generation and training processes.
• Build globalized large-scale recommendation system.
• Design and develop high performance computing frameworks and storage systems.
• Research, design, and develop software or specialized utilities.
• Analyze user needs and develop software solutions using CS principles.
• Update software, enhance capabilities, and develop tests and validation.
• Collaborate with hardware engineers to integrate hardware and software.

Skills

C

C++

Java

Golang

Communication

Ownership

Education

Bachelor's degree in Computer Science or related field

Tools

Data pipelines

Distributed storage

Big data frameworks

Job description

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

• Career growth opportunity
• Paid leave
• Flat organization

Responsibilities

About the Team

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. Our E-ecommerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, so as to provide the most stable and best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

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
• - 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 Qualifications

• - Bachelor's degree or above, majoring in Computer Science, or related fields
• - Experience programming in at least one of 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.

Preferred Qualification

• - Experience in e-commerce related areas