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Machine Learning Engineer, Search Recommendation

TikTok · San Jose, California, United States of America

Data Science / AI / Machine LearningExternal listingfull-timeRecently

About The Role

About the Team

The Search Growth team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide. Our mission: to create a world where "there are no hard-to-sell, overpriced products."

Responsibilities - What You'Il Do

  • Enhance search recommendation services and models for TikTok, driving increased search traffic on TikTok and TikTok Mall, while also improving user's search understanding.
  • Optimize the recommender system based on hyperscale machine learning models, covering a range of tasks from recall/first-stage ranking to final-stage ranking in the end-to-end workflow.
  • Explore the upper limits of short text recommendation and general recommendation technology, with a focus on the interaction between recommendation and NLP technology.

Minimum Qualifications

  • 3+ years of work experience in machine learning. Good product sense with a focus on user experience.
  • Bachelor or advanced degree in computer science or a related technical discipline.
  • Excellent coding skills. Solid knowledge of data structure and algorithms.
  • Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.

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