TT - Data Engineering Leader (Multiple Positions)
TikTok.com
Office
San Jose, California, United States
Full Time
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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible.
Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company.
Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come.
By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users.
When we create and grow together, the possibilities are limitless.
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
Lead the development and deployment of large-scale, state-of-the-art recommendation models, leveraging expertise in retrieval, ranking, re-ranking, and other phases of the recommendation pipeline.
Own and manage data engineering projects by defining technical strategies and roadmaps that align with business objectives.
Provide technical expertise and guidance to design, develop, refine, and optimize machine learning algorithms that drive business impact and enhance user engagement.
Utilize cutting-edge, application-driven research to explore new frontiers in the recommendation algorithmic domain and apply advanced technical approaches to drive innovation and stay ahead of industry trends.
Manage the allocation of internal and cross-functional resources to support system optimization goals through the efficiency of organizational collaboration.
Direct the preparation of technical and project status reports to communicate results and insights to peers and senior leadership.
Provide business, technical, and personal development coaching to build, manage and mentor junior and mid-level team members.
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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible.
Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company.
Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come.
By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users.
When we create and grow together, the possibilities are limitless.
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
Lead the development and deployment of large-scale, state-of-the-art recommendation models, leveraging expertise in retrieval, ranking, re-ranking, and other phases of the recommendation pipeline.
Own and manage data engineering projects by defining technical strategies and roadmaps that align with business objectives.
Provide technical expertise and guidance to design, develop, refine, and optimize machine learning algorithms that drive business impact and enhance user engagement.
Utilize cutting-edge, application-driven research to explore new frontiers in the recommendation algorithmic domain and apply advanced technical approaches to drive innovation and stay ahead of industry trends.
Manage the allocation of internal and cross-functional resources to support system optimization goals through the efficiency of organizational collaboration.
Direct the preparation of technical and project status reports to communicate results and insights to peers and senior leadership.
Provide business, technical, and personal development coaching to build, manage and mentor junior and mid-level team members.
TT - Data Engineering Leader (Multiple Positions)
Office
San Jose, California, United States
Full Time
October 10, 2025