Responsibilities
TikTok R&D team aims as the pillar R&D work of TikTok business, build and maintain industry-leading products. Join us, you will be exposed to core business scenarios including user growth, social networking, live broadcast, e-commerce C-end, content creation, content consumption, etc., to support the rapid development of products on the global track. You will also get in touch with technical challenges in service architecture, basic technology and other directions to ensure that the business continues to serve users with high quality, high efficiency and security. At the same time, it can also provide comprehensive technical solutions for different business scenarios and optimize various product indicators and user experience.
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As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.
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.
Responsibilities
We are currently building LLM-related modeling infrastructure, which includes but is not limited to:
1. Text LLM foundational model pretraining infrastructure and framework
2.Text LLM foundational model reinforcement learning infrastructure and framework
3.Text LLM foundational model inference solutions and framework
Qualifications
Minimum Qualifications:
1. Undergraduate who is currently pursuing a degree/master in Software Development, Computer Science, Computer Engineering, or a related technical discipline
2. Passionate about computer science and internet technologies, with proficiency in at least one programming language such as Golang, Java, or Python.
3. Strong foundation in core computer science principles, including computer networks, databases, data structures, algorithms, and operating systems.
Preferred Qualifications:
1. Hands-on experience in deep learning engineering
2. Familiarity with PyTorch and CUDA
3. Hands-on experience with LLM
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