Software Engineer - Ads Identity and Attribution

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. In an industry where signal loss is becoming the new norm in online advertising, our Ads Identity and Attribution team tackles the evolving landscape of identity matching (acquiring user identification from signals) and attribution (assigning signals to ad touchpoints). What was once an engineering problem has transformed into a system engineering challenge that is not only heavily dependent on cutting edge technologies for processing large-scale data but also innovative ML algorithms for learning from signal. Key responsibilitiesYou will dedicate yourself to building the foundational infrastructure for processing and learning from large-scale ad signal that empowers critical ad optimization and measurement use cases. Your responsibilities include developing highly reliable and scalable systems for signal ingestion, identity matching, ads attribution, signal utilization etc. and collaborating closely with cross-functional teams.

Minimum requirements- BS / MS degree in Computer Science or related engineering fields with software development experience.- Strong coding skills, especially in Go / C++ / Python / SQL, and solid foundation of knowledge in data structures, algorithms and system design- Hands-on experience in developing data intensive systems in advertising, search, or recommendation domain- Business acumen and excellent problem-solving, project management, and analytical skills Preferred requirements- Experience in tech leading complex projects- Hands-on experience in building large-scale ML infrastructure in advertising domain