Machine Learning Engineer Graduate

4 days ago


San Jose, California, United States Tik Tok Full time
Job Summary

TikTok is the leading destination for short-form mobile video. As a Machine Learning Engineer Graduate, you will be part of the team that inspires creativity and brings joy to our users. Our global headquarters are in Los Angeles and Singapore, and our offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas, and explore limitless growth opportunities.

Key Responsibilities:
  • 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.

Qualifications
  • BS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with 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.

What We Offer
  • Unparalleled opportunities for career growth and development.
  • A dynamic and inclusive work environment that values diversity and creativity.
  • The chance to work on cutting-edge machine learning projects and contribute to the development of TikTok's ads platform.


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