Senior E-commerce Recommendation Engineer

6 days ago


San Jose, California, United States TikTok Full time
About TikTok

TikTok is a leading destination for short-form mobile video, inspiring creativity and bringing joy to users worldwide. Our global headquarters are in Los Angeles and Singapore, with offices in New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Work with Us

We're a team that thrives on creativity and innovation, pushing the boundaries of what's possible with technology. Our mission is to inspire creativity and bring joy, and we're committed to making a positive impact on the communities we serve.

About the Team

Our E-commerce team is focused on developing innovative algorithms and machine learning techniques to improve user engagement and satisfaction on TikTok Shop. We're passionate about applying large-scale machine learning to solve real-world problems in e-commerce and recommendation.

Responsibilities
  • Design and develop large-scale e-commerce recommendation algorithms and systems on TikTok.
  • Develop predictive models for candidate generation and ranking, including real-time data pipelines, feature engineering, model optimization, and innovation.
  • Build long and short-term user interest models, analyzing and extracting relevant information from large datasets.
  • Design and develop strategies using ML technology to improve user shopping experience and resolve e-commerce business challenges.
Qualifications
  • Bachelor's degree or higher in Computer Science or related fields.
  • Strong programming and problem-solving ability.
  • 5+ years of experience in applied machine learning, with expertise in algorithms such as Collaborative Filtering, Matrix Factorization, and Deep Neural Networks.
  • Experience with Deep Learning Tools such as TensorFlow or PyTorch.
Preferred Qualifications
  • 3+ years of experience in recommendation systems, online advertising, information retrieval, natural language processing, or related fields.
  • Publications in top-tier conferences or journals, or experience in data mining/machine learning competitions.

TikTok is committed to creating an inclusive and diverse workplace, where employees are valued for their skills, experiences, and unique perspectives. We're passionate about inspiring creativity and bringing joy to our users, and we're looking for talented individuals to join our team.



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