About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are 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 enrich life - a mission we work towards every day.

As ByteDancers, 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. 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

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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 our recommendation system to provide the most stable and best experience for our users.

This person will be responsible for the design and development of the live broadcast recommendation system architecture, ensuring system stability and high availability responsible for online services, offline data flow performance optimization, solving performance bottlenecks, reducing costs and unlocking common components and services of the postal image system, building recommendation platforms, and supporting new Factory incubation.

Responsibilities

- Responsible for the live broadcast recommendation architecture and it's affiliated products, and solve the architecture optimization problem of the recommendation architecture system

- Support the design and development of the live broadcast SaaS recommendation system, and the output core recommendation capabilities of bytes and high-quality content to partners

- Focus on Architecture abstraction and process optimization for recommendation scenarios, support large-scale machine learning optimization

- Focus on large-scale systems with high concurrency and high throughput, improve system stability, performance, and scalability

- Research and development and optimization of core components, application and implementation of new technologies

- 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, 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

- Solid programming ability, excellent design and code style, enthusiastic about technical challenges

- Effective communication skills and a sense of ownership and drive

Preferred Qualification

- 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.

Backend Engineer - Live Recommendation Architecture (ByteDance Singapore)