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Multimodal Research Scientist Graduate (AI Innovation Center) - 2025 Start (PhD)

TikTok
San Jose, CA
Full-time

Responsibilities

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy.

TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

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.

The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video / image / audio / text / code), etc.

to let machine better understand user creations on Tiktok platform. Regarding to video / image / audio / text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform.

Regarding to code, our developed LLM aims to automatically re-organize / optimize Tiktok codebase, and make the code / coding become more accessible for Tiktok engineers.

Successful candidates must be able to commit to an onboarding date by end of year 2025.

We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.

Applications will be reviewed on a rolling basis. We encourage you to apply early.

Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.

The main job responsibilities include :

  • Explore Large-scale & Multi-modal LLMs and optimize systems to the level of other advanced models, e.g., Gemini;
  • Multi-modal pertaining, instruction tuning, preference alignment, and model compression;
  • Implementation of relevant applications, including video understanding, reasoning and code generation, etc.;
  • In-Depth research and collaboration with researchers from top-tier universities worldwide;

Qualifications

Minimum Qualifications

  • PhD with top AI conference papers in ML / CV / NLP are required;
  • Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C / C++ or Python, winners of competitions such as ACM / ICPC, NOI / IOI, Top Coder, Kaggle, etc. are preferred
  • In-depth research experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI
  • Excellent ability to analyze and solve problems, and be passionate about solving challenging problems

Preferred Qualifications

Passion for technology, good communication skills and team spirit

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.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws.

If you need assistance or a reasonable accommodation, please reach out to us at https : / / shorturl.at / cdpT2

30+ days ago
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