Research Scientist in Generative AI Graduate (Intelligent Creation) - 2026 Start (PhD)
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About this role
The Intelligent Creation Team is the AI, special effects, and audio-video creation technology team, responsible for the core technology and business development. It covers a variety of technical fields, including deep learning, computer vision, graphics, speech, shooting and editing, special effects, client and server engineering, and provides cutting-edge content understanding, content creation, interactive experience, and consumption capabilities and industry solutions to other business lines within the company and external partners in various forms.
We are looking for talented individuals to join our team in 2026. 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 2026.
Please state your availability and graduation date clearly in your resume.
PhD: Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
- Conduct cutting-edge research and development in computer vision and machine learning, especially in the areas of generative AI (e.g. image, video, or 3d generation).
- Transfer advanced technologies to TikTok and other products;
- Explore new products with artificial intelligence technology at its core.
Minimum Qualifications
- Final year Ph.D or recent Ph.D graduates in Computer Science or related engineering field.
- Excellent collaboration and interpersonal skills.
- Highly competent in algorithms and programming; Strong coding skills in Python/C++.
Preferred Qualifications
- Multimodal generation, such as text-to-image/video/3D generation and editing, and other related multimodal experiences.
- Image generation, video generation, 3D generation.
- Diffusion model, GAN, transformer for generation tasks.
- Large-scale training, RLHF, and generative AI.
- Preferring candidates with publications in top-tier venues such as CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH or SIGGRAPH Asia, etc.