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. TikTok Closed-loop Shop Ads team has a strong user focus and a dedication to technical excellence.
We aim to meet our users' needs with reliable and high-performing platforms and services. We are looking for strong Machine Learning Engineers who are excited to grow their business understanding, build highly scalable and reliable software, and partner across disciplines with global teams in pursuit of excellence. What You'll Do
- Apply state-of-the-art machine learning techniques to optimize advertisers' marketing strategies.
- Connect with businesses directly to understand and develop solutions for their jobs-to-be-done.
- Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.
- Capitalize on the organic shopping behaviors on TikTok today and facilitate retentive behaviors to provide more people value and business value.
Minimum Qualifications :
- BS / MS degree in Computer Science or similar fields, with related industry experience.
- Solid programming skills, proficient in Python / Golang / Java / C / C++.
- Familiarity with at least one mainstream deep learning programming framework (TensorFlow / Caffe / MXNet) and its architecture and implementation mechanism.
- Familiarity with deep learning algorithms (CNN / RNN / LSTM, .
- Team-player with strong communication skills who can also work independently. Preferred Qualifications :
- Familiarity with main components for Ads systems, including bidding, ranking, and auction.
- Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).
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