TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, 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 Ads Targeting team's goal is to optimize advertisement placement and help advertisers run their ads more effectively.
As a Software Engineer on the Ads Targeting team, you will design and build large-scale foundations for data processing and serving for next-generation ads targeting products, and applied machine learning models to scale budgets by understanding user interest and intention.
This team is working on a variety of products such as custom audience, lookalike, interest, behavior, etc., as well as new innovative features. What You'll Do
- Work with product managers to define ads targeting product strategy and features based on data-driven methods and industry trends.
- Design, optimize, and implement ads targeting strategies; improve infrastructure design and machine-learning methods; maintain and troubleshoot offline and online ad targeting products.
- Extract, aggregate, and sync all pertinent data to generate audience insights and help advertisers discover the demographics, locations, devices, and interests that make up their remarketing lists.
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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