Research Scientist, Multimodal Machine Learning

3 weeks ago

San Jose, United States TikTok Full time
Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, 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.

Our Trust and Safety team is fast growing and responsible for building machine learning models and systems to protect our users from the impact of negative content . Our mission is to protect billions of users and publishers across the globe every day. We embrace state-of-the-art machine learning technologies and scale them to moderate the tremendous amount of data generated on the 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.

The achievement of our mission relies on comprehensive understanding of content on the platform. We are looking for talented research scientists to help us enhance our content understanding techniques which are used in a variety of downstream business projects. We expect you to have solid experience in content understanding domain including but not limited to CV, NLP, Multimodal, and LLM. This position will work with a team of excellent research scientists and machine learning engineers to propose, develop, and implement innovative content understanding models and scale them to improve the experience of billions of Tiktok users around the world.

Responsibilities - What You'II Do
• Work with team members to design and develop next generation CV/NLP/Multimodality/LLM models.
• Work with engineering teams to implement and deploy the model for scalable online serving.
• Work with business partners to understand the business challenges and propose solutions.
• Collaborate with product team to define objectives and improve trust and safety strategy.

Qualifications

Minimum Qualification
- PhD degree focusing on, or Master degree with at least 2 years of practical experience in one or more areas of content understanding, including but not limited to:
- Multimodal understanding, such as video representation learning, temporal action localization, etc.
- Vision language, such as image/video captioning, retrieval, VQA, etc.
- Large language model domain adaption, such as SFT, LORA, etc.

Preferred Qualifications
- Experience in LLM, multimodal modeling, representation learning is a plus.
- Experience in working with XFN in an agile environment and ability to deliver in a fast-paced environment.
- Proven record of research experience demonstrated by peer-reviewed publications in top AI/ML conference(s).

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 gprd.accommodations@tiktok.com.

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