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.

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 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.

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:
1. 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.
2. 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.
3. Responsible for the design and development of Machine Learning infrastructure for LLM/AIGC, etc
4. Be responsible for researching and implementing cutting-edge engineering technologies related to LLM, NLP, CV.

Qualifications

Minimum Qualification
1. Final year or recent graduate with a background in computer science or a related technical discipline.
2. 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.).
3. Understanding of the principles of distributed systems, large-scale data processing, and parallel computing
4. Interested and experienced in one or more of the following areas: machine learning, deep learning, computational acceleration, and performance optimization.
5. Familiar with the ML Infrastructure of Large Model training and inference

Preferred Qualifications
1. Excellent programming skills, data structure and algorithm skills, proficient in C/C++ or Python programming language, candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.
2. Research or industry experience in the field of machine learning, especially in large language models (LLMs) and generative artificial intelligence.
3. Distributed training framework optimizations such as DeepSpeed, FSDP, Megatron, GSPMD
4. Experiences in in-depth CUDA programming and performance tuning (cutlass, triton)
5. Experience with evaluation of ML models, LLM application & agent development is desirable.
6. Understanding cutting-edge LLM research and engineering (e.g., long context, multi modality, active learning, alignment research, agent ecosystem, etc.) and possess practical expertise in effectively implementing these advanced systems.

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.

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