Backend Engineer Graduate (ByteRec Recommendation Infrastructure) - 2026 Start (BS/MS)
Responsibilities
About the Team
The ByteRec (Recommendation Architecture Middle-Platform) Team is responsible for system architecture design in the fields of content understanding and content security for products. The scope of work includes the design and development of the entire process of massive multi-modal content processing, retrieval, RAG, and sorting, ensuring the high availability of the system, and pursuing flexible abstraction and sustainable iteration. We also maintain VikingDB as a cloud-native RAG service.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
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.
Responsibilities
- Be responsible for the service construction and iteration of the multi-modal content understanding pipeline, solve core problems such as service availability, throughput and storage bottlenecks, and improve the development efficiency of new features.
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- Regarding the repetition and similarity issues of massive video content, closely collaborate with the algorithm team to continuously promote the application of industry-leading video representation models and large-scale vector retrieval technologies at the business level, and overcome engineering problems during the implementation process.
- Abstract and enrich the multi-modal vector computing components, optimize the model inference performance of vector computing, enhance the stability, performance, and scalability of the system, and strengthen platform-wide integration.
Qualifications
Minimum Qualifications:
- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, Electrical Engineering or other related technical discipline.
- Good programming skills and basic computer knowledge, be familiar with Python/C++, have excellent design and coding styles, and possess strong abilities to solve practical problems.
- Good communication and collaboration skills, be enthusiastic about solving challenging problems, and be able to explore new technologies with the team to promote technological development.
Preferred Qualifications:
- Experience in development related to recommendation, search, and advertising. Have experience in recall and ranking or RAG systems.
- Basic machine learning knowledge, familiar with mainstream machine learning frameworks (PyTorch/TensorFlow) or Multi-Agent frameworks. Have experience in high-performance computing or CUDA development.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- HSA
- Life Insurance
- Fitness Subsidies
- Short-Term Disability
- Long-Term Disability
- On-Site Gym
- Mental Health Benefits
- Virtual Fitness Classes
Parental Benefits
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Snacks
- Pet-friendly Office
- Happy Hours
- Some Meals Provided
- Company Outings
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
Financial and Retirement
- 401(K) With Company Matching
- Performance Bonus
- Company Equity
Professional Development
- Promote From Within
- Access to Online Courses
- Leadership Training Program
- Associate or Rotational Training Program
- Mentor Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
Company Videos
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