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Research Scientist - Multimodality, TikTok Monetization GenAI - 2024 PhD

TikTok
San Jose
Full-time

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 UsCreation 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. We are Generative AI team under Monetization Technology.

Our team focuses on developing cutting-edge Generative AI techs across all modalities, including text, image, videos, landing pages, etc.

and creates industry-leading technical solutions to improve efficiency for advertisers, agencies and creators. We are looking for top researchers or scientists engineers who can lead the research in multimodality generative model development.

If you are someone who welcomes challenges, we are eager to have you on the team! Responsibilities1. Lead research in advancing technology in multimodality generative model architectures;

2. Research, implement and evaluate novel machine learning algorithms on generative models;3. Collaborate with applied machine learning teams and infrastructure teams to ship new generative models into ad production.

Minimum Qualifications : - . in computer science, machine learning, or similar fields - Hands-on experience of developing multimodality foundation models and work or internship experience in an AI research organization is a plus- Strong publications record in top conferences or journals (.

NeurIPS, ICML, ICLR, CVPR, etc)

30+ days ago
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