Machine Learning Engineer, Multimodality
San Jose, California, United States
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 products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, 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 users we serve. Join us.
Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users’ needs with reliable and high-performing platforms and services.
We use an AIGC large model, deep learning, machine learning and other technologies to establish a safe and trusted connection between billions of active users and the company's commercial products (advertising, e-commerce, live broadcast, etc.). By building a highly concurrent and highly reliable risk control system, we can perceive and deal with the risks of commercial products in real time. By building an end-to-end deep learning model and machine learning system, we can understand the content of commercial products and automatically review tens of millions of content in a short time. We sincerely invite you to join us and build the most advanced risk control system in the industry.
Responsibilities:
1. Responsible for understanding content of advertisements, including titles, images, videos, OCR texts, ASR texts, etc.
2. Responsible for the construction of models, such as AIGC model, image/video model, multimodality model, etc.
3. Responsible for model acceleration, improving inference efficiency while maintaining the effectiveness of models.
4. Responsible for tracking and implementation of SOTA technologies in the CV/Multimodality.
Why Join Us
Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, 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 users we serve. Join us.
Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users’ needs with reliable and high-performing platforms and services.
We use an AIGC large model, deep learning, machine learning and other technologies to establish a safe and trusted connection between billions of active users and the company's commercial products (advertising, e-commerce, live broadcast, etc.). By building a highly concurrent and highly reliable risk control system, we can perceive and deal with the risks of commercial products in real time. By building an end-to-end deep learning model and machine learning system, we can understand the content of commercial products and automatically review tens of millions of content in a short time. We sincerely invite you to join us and build the most advanced risk control system in the industry.
Responsibilities:
1. Responsible for understanding content of advertisements, including titles, images, videos, OCR texts, ASR texts, etc.
2. Responsible for the construction of models, such as AIGC model, image/video model, multimodality model, etc.
3. Responsible for model acceleration, improving inference efficiency while maintaining the effectiveness of models.
4. Responsible for tracking and implementation of SOTA technologies in the CV/Multimodality.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Engineering Jobs
Machine Learning Jobs
Tags: ASR Deep Learning E-commerce Machine Learning OCR
Region:
North America
Country:
United States
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