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Machine Learning Engineer
2 months ago
TikTok is a leading destination for short-form mobile video, inspiring creativity and bringing joy to over 1 billion users worldwide. Our global offices are located in key cities, including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo.
Our MissionWe strive to create an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from diverse backgrounds, and so does our workplace. At TikTok, we aim to inspire creativity and bring joy to our users.
Job SummaryWe are seeking a talented Machine Learning Engineer to join our Ads Core Team. As a key member of our team, you will be responsible for developing state-of-the-art ad technologies, including ranking, retrieval, targeting, bidding, auction, and more. Your expertise will help optimize ads format and ranking strategies, ensuring a better return on investment for advertisers.
Key Responsibilities- Improve the effectiveness of spark ads delivery in all ads ranking systems, enhancing user experience and ROI.
- Develop open-loop bidding products by joint optimization of recommendation traffic and ads traffic.
- Iterate bidding strategy to reach the ROI and CPA goal.
- Improve anchor model efficiency, including privacy-preserving environments.
- Maximize delivery effect with minimal experience loss.
- BS/MS degree in Computer Science, Computer Engineering, or a related technical discipline with model optimization experience.
- Solid programming skills, proficient in C/C++ and Python, with familiarity with basic data structures and algorithms.
- Good analytical thinking capability and essential knowledge of statistics.
- Good theoretical grounding in deep learning concepts and techniques.
- Familiarity with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet).
- Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems.
- Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. We offer a dynamic work environment, opportunities for growth and development, and a chance to make a meaningful impact on our users' lives.