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

San Jose, California


Employer: TikTok
Industry: R&D
Salary: Competitive
Job type: Full-Time

Responsibilities

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 its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

Team Introduction:
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.

Qualifications

Minimum 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.

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.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2

Created: 2024-08-30
Reference: A12855
Country: United States
State: California
City: San Jose
ZIP: 95118


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