Machine Learning Engineer, Recommendation, Alliance E-Commerce

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TikTok is hiring a Machine Learning Engineer on the Alliance E-Commerce team in Seattle to build real time large scale models that capture creators’ interests, optimize commodity relationships, and improve ranking and recall for product recommendations to lift GMV and merchant monetization. You’ll analyze vast data to craft targeted strategies empowering creators and merchants and help propel the e commerce platform’s growth while promoting a healthy ecosystem. Must have 3+ years of ML experience with solid theoretical foundation and familiarity with matrix factorization, GBDT, LTR, Word2vec, DIN, and DeepWide; proficient in Python and C++. Preferred: XGBoost, TensorFlow, Caffe; strong learning ability and good cross-functional communication. To apply, quantify impact with metrics, showcase end to end projects tied to monetization, and demonstrate collaboration and clear communication, and confirm onsite Seattle availability.

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The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.

Job responsibilities:
1. Build and design large-scale machine learning algorithms to model the real-time interests of creators to improve conversion efficiency
2. Optimize TikTok's massive commodity relationship mining and ranking and recall of creators' product recommendations, and improve the overall GMV of the platform
3. Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading
4. Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote healthy ecological development


Minimum Qualifications
1. 3+ years of industry experience with solid theoretical foundation of machine learning;
2. Familiar with common algorithms such as matrix factorization, GBDT, LTR, Word2vec, DIN, Deep&Wide
3. Proficient in Python and C++ languages

Preferred Qualifications
1. Proficiency in using any of the following open source tools: XGboost, TensorFlow, Caffe;
2. Have excellent learning ability and good communication and cooperation spirit.