Platform R&D Engineer, Recommendation System (ByteDance Singapore)

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

Career growth opportunity, Paid leave, Flat organization

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. Due to the big system scale and large engineering community that covers multiple Recommendation products, we invest heavily in the developer infra area, from developer environments and continuous integration/continuous deployment (CI/CD) to frameworks, libraries, and various productivity tools.

Responsibilities

- Provide high-performance, highly available, and flexible architecture design, high-quality code implementation, and continuously improve engineering quality based on product and strategy requirements for complex business scenarios;

- Build a recommendation system analysis platform to provide product-level tool support for problem analysis and debugging;

- Thoroughly comb through existing business systems, identify and optimize weak links in the system, improve the overall architecture quality, service performance, and stability of the system;

- Abstract and precipitate common business architecture based on actual business conditions, improve the degree of basic capability reuse, and better support business rapid iteration.

Qualifications

Minimum Qualifications

- Bachelor's degree or above, majoring in Computer Science, or related fields, with at least 1 year of experience building scalable systems;

- 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;

Preferred Qualifications

- 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.