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About the Team Our Trust and Safety R&D team is fast growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.
Our mission is to build a bridge for collaboration between algorithm models and business scenarios, and efficiently and stably apply TnS's algorithmic capabilities to TikTok's business scenarios. And let TnS's algorithmic capabilities cover wherever TikTok needs them. We are looking for talented individuals to join us for an internship in 2026.
Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok. Responsibilities：
Work closely with business teams to optimize the integration plan for algorithm applications, improve efficiency in evaluating and using algorithm applications across various business scenarios, and reduce the cost of managing and optimizing algorithm applications in different business scenarios.
Be responsible for the architectural design, development, and performance tuning of algorithm applications, solving technical challenges such as high concurrency, high reliability, and high scalability.
Work includes multiple sub-areas: ML model training and evaluation, model optimization, model inference, model management, dataset management, workflow orchestration, etc.
Responsible for the design and development of Machine Learning infrastructure for LLM/AIGC, etc
Be responsible for researching and implementing cutting-edge engineering technologies related to LLM, NLP, CV.
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.
Successful candidates must be able to commit to at least 3 months long internship period. Successful candidates must be able to commit to either of the following Internships
From January to June
From
May to August (Summer)
Qualifications
Minimum Qualifications:
Undergraduate or Postgraduate currently pursuing computer science or a related technical discipline.
Familiar with one or two programming languages, such as C++, Go, or Python, and knowledgeable about CUDA or deep learning frameworks (such as PyTorch, Deepspeed, Megatron, vllm, etc.).
Understanding of the principles of distributed systems, large-scale data processing, and parallel computing
Interested and experienced in one or more of the following areas: machine learning, deep learning, computational acceleration, and performance optimization.
Preferred Qualification:
Familiar with the ML Infrastructure of
Large Model training and inference 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
