Machine Learning Engineer (Multiple Positions)
San Jose, California, United States
About TikTok
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.
About the Team
Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!
Responsibilities
Develop highly scalable classifiers, tools, statistical models, and/or algorithms by leveraging cutting-edge machine learning (ML) and data mining technologies to improve user experience and optimize consumption of our content/products on the platform.
Collaborate with strategy team, product managers, policy team, and operations team to help define products and drive initiatives from engineering viewpoints.
Design and implement tools to analyze the ML model's performance and optimize performance of ML system.
Innovate on optimizing content consumption and user experience through personalization.
Work with cross functional teams and product stakeholders to deliver system and product insights through analytics.
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.
About the Team
Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!
Responsibilities
Develop highly scalable classifiers, tools, statistical models, and/or algorithms by leveraging cutting-edge machine learning (ML) and data mining technologies to improve user experience and optimize consumption of our content/products on the platform.
Collaborate with strategy team, product managers, policy team, and operations team to help define products and drive initiatives from engineering viewpoints.
Design and implement tools to analyze the ML model's performance and optimize performance of ML system.
Innovate on optimizing content consumption and user experience through personalization.
Work with cross functional teams and product stakeholders to deliver system and product insights through analytics.
* 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: Data Mining Engineering Machine Learning Statistics
Region:
North America
Country:
United States
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