Software Engineer Graduate (Ads ML Infrastructure) - 2025 Start (BS/MS)
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 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.
About the team
The ads system at TikTok operates on a massive scale and serves millions of advertisers, clients and influencers across the world. The quality of the ads system highly depends on the ability to handle massive data, and machine learning is widely used to improve the quality of our ads. The Ads machine learning data platform team is responsible for building highly efficient and stable infrastructure to collect and process data for the usage of machine learning training, serving, and privacy enforcement, including feature engineering, feature store, training data generation, etc.
We are looking for an innovative Software Engineer to join the team. You will provide technical leadership to key projects and empower the team.
Responsibilities
• Lead projects committed to building and operating scalable and reliable Ads ranking infrastructure systems.
• Provide technical leadership and guidance to team members and project peers.
• Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts.
• Lead the innovation efforts, and bring in new ideas and technologies.
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.
About the team
The ads system at TikTok operates on a massive scale and serves millions of advertisers, clients and influencers across the world. The quality of the ads system highly depends on the ability to handle massive data, and machine learning is widely used to improve the quality of our ads. The Ads machine learning data platform team is responsible for building highly efficient and stable infrastructure to collect and process data for the usage of machine learning training, serving, and privacy enforcement, including feature engineering, feature store, training data generation, etc.
We are looking for an innovative Software Engineer to join the team. You will provide technical leadership to key projects and empower the team.
Responsibilities
• Lead projects committed to building and operating scalable and reliable Ads ranking infrastructure systems.
• Provide technical leadership and guidance to team members and project peers.
• Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts.
• Lead the innovation efforts, and bring in new ideas and technologies.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Categories:
Engineering Jobs
Machine Learning Jobs
Tags: Engineering Feature engineering Machine Learning ML infrastructure Privacy
Perks/benefits: Career development
Region:
North America
Country:
United States
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