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 UsCreation 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. The eCommerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies.
TikTok Shop re-imagines global eCommerce with rich content and endless joy. The mission of Shop Ads team is to empower commerce merchants of all sizes to grow their business efficiently within TikTok's closed-loop ecosystems.
Shop Ads, our feature ad solution, enables all TikTok Shop Sellers to promote their products in TikTok efficiently. We are looking for strong Backend Engineers who are excited to grow their business understanding, build highly scalable and reliable software, and partner across disciplines with global teams in pursuit of excellence. What You'll Do
- Apply state-of-the-art backend developement and machine learning techniques to optimize advertisers' marketing strategies.
- Connect with businesses directly to understand and develop solutions for their jobs-to-be-done.
- Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.
- Capitalize on the organic shopping behaviors on TikTok today and facilitate retentive behaviors to provide more people value and business value.
Minimum Qualifications : BS / MS degree in Computer Science or similar fields, with related industry experience.Solid Computer Science fundamentals (algorithms, data structures, software design).
Solid programming skills, proficient in Python / Golang / Java / C / C++.Business acumen and excellent problem-solving, project management, and analytical skills.
Team-player with strong communication skills who can also work independently. Preferred Qualifications : Familiarity with main components for Ads systems, including bidding, ranking, and auction.
Experience in ranking in recommendation or search.Experience in machine learning models.