Data Scientist Ads E-commerce

1 week ago

San Jose, California, United States Tik Tok Full time

TikTok is a leading destination for short-form mobile video, with a mission to inspire creativity and bring joy. The company has global offices, including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo.

Why Join Us

We are seeking highly skilled Machine Learning Engineers to improve our existing delivery system that optimizes for advertisers' true business objectives. You will work closely with cross-functional teams to build proper and relevant connections between users, advertisers, and TikTok.

Job Description:

  • Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies.
  • Explore, develop, and experiment with new features to improve model accuracy.
  • Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quantity delivered to end-users.
  • Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.

Requirements:

  • BS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with 7+ years of related work experience.
  • Solid programming skills, including but not limited to: Go, C/C++, Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment.
  • Good analytical thinking capability. Have essential knowledge and skills in statistics.
  • Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.).
  • Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture and implementation mechanism.
  • Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB).
  • Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).
  • Relevant work or research experiences in search and recommendation.

Benefits:

  • $150,000 - $200,000 per year, depending on experience.
  • Opportunities for professional growth and development.
  • Diverse and inclusive work environment.

Location: Remote work options available.

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