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. Our ads core team is a platform team that develops 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 You'll Do
- Build highly scalable machine learning systems / models to improve ads ranking results.
- Explore, develop and experiment with new features to improve model accuracy.
- Understand ads platform objectives and take full advantage of modern machine learning to improve ad quality, relevancy, and select the best ad formats delivered to end-users.
- Develop robust core systems and algorithms, including ads format selection system, ads ranking system, model serving system, etc.
Minimum Qualifications :
- BS / MS degree in Computer Science or related engineering fields with software development experience.
- Strong coding skills, especially in Python / C++ / Go / SQL, and solid foundation of knowledge in data structures and algorithms.
- Knowledge of and hands-on experience with big data processing and parallel computing frameworks, such as Hadoop and Spark.
- Business acumen and excellent problem-solving, project management, and analytical skills. Preferred Qualifications :
- Experience in building high-load distributed systems or data processing pipelines.
- Experience in building and troubleshooting machine learning workloads on distributed systems is a plus.
- Experience in developing modern ads ranking / retrieval / targeting systems and recommender systems.
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