Data Scientist for Ad Optimization

3 weeks ago


San Jose, California, United States Tik Tok Full time
Company Overview
TikTok is a leading short-form mobile video platform with a mission to inspire creativity and bring joy. With global offices across the world, we are committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.

We are seeking a highly skilled Machine Learning Engineer to join our Web Ads and Open-loop E-commerce team. As a member of this team, you will have the opportunity to work on building the next-generation web ads solution for TikTok and improve our existing delivery system that optimizes for advertisers' true business objectives.

Job Description
The ideal candidate will have a strong background in machine learning and experience in building scalable systems. You will be responsible for designing and developing machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies. This includes but is not limited to click through rate prediction, conversion rate prediction, intelligent format selection and user journey optimization.

Required Skills and Qualifications
The successful candidate will have a Bachelor's or Master's degree in Computer Science, Computer Engineering, or other relevant majors, with 1+ years of related work experience. They should have solid programming skills, including Go, C/C++, Python, and familiarity with Linux development environment. Good analytical thinking capability and essential knowledge and skills in statistics are also required. Additionally, good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.) and familiarity with at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet) are necessary.

Benefits
TikTok offers a competitive salary of $150,000 per year, a comprehensive benefits package, and opportunities for growth and professional development. We are committed to providing a work-life balance and supporting our employees' overall well-being.

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