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Senior Machine Learning Engineer, TikTok Ads Core - Traffic & Strategy

TikTok
San Jose, United Statesfull_timeVerifiedPosted 9 Jan 2025

About the role

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.



We are the Ads Core Team from TikTok Global Monetization Technology. Within the global monetization and advertising landscape, we are responsible for generating revenues through advanced machine learning technology and delivering optimal user experience solutions.



Our team's mission is to create automatic delivery products for the next generation, to develop advertising as a business instead of just a monetization tool, and to consolidating the delivery funnel framework allowing multiple teams to iterate parallel.



We’re looking for innovative Senior Machine Learning Engineers to develop state-of-art ad technologies, including ranking, retrieval, targeting, bidding, auction, etc. You will be part of a team that's optimizing ads format and ranking strategies, and you will be responsible for bringing a better return on investment for advertisers.



What will you do:

• Iterate bidding and budget algorithms to sort out the best matching traffic as aspect of advertiser.

• Develop ad delivery capability as a tool for doing business with joint effort of recommendation optimization.

• Optimize the delivery efficiency of automatic delivery products, aiming to increase the penetration rate and lift compared to manual delivery.

• Establish a robust, flexible and fair framework for multiple teams to parallely iterate related models in the delivery funnel.

• Achieve extreme iteration and optimization of advertising models to enhance TikTok’s overall revenue and system efficiency, plus improving customer experience.

• Provide an effective and feasible diagnosis platform to solve each user and each advertiser's issues.

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Company

TikTok

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