Recommendation Platform Backend Engineer(ByteRec Recommendation Infrastructure Graduate -TikTok) - 2025 Start (BS/MS)

Responsibilities

The recommendation architecture mid-platform team is responsible for the design and development of the recommendation system platform for TikTok and related products, and the team maintains the platform and develops midwares for the system, keeps it consistent.

We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.

Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Online Assessment

Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank.

Responsibilities:

In the team, you are expected to

Participate in the development of the recommender platform (backend), build the core process of the recommender system, and participate in the maintaining and optimization of the core middleware and infrastructure;

Abstract the functions and workflow of mid-platform products, improve efficiency and stability, and promote iterative upgrades of the architecture;

Analyze and process system meta-information, bloodline, etc., to improve system transparency.

Explore the application and implementation of new technologies and new concepts of recommendation systems.

QualificationsMinimum Qualifications:

Bachelor's degree in Computer Science

Solid programming skills, familiar with languages such as C++ and Python3, familiar with databases such as MySQL/MongoDB/Redis, and familiar with common backend frameworks such as Flask or FastAPI.