Machine Learning Engineer - Search Recommendation, E-commerce Search Growth

TikTok Inc

  • Seattle, WA
  • 30+ days ago

    Highlights

    About the team On the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally.

    Numbers & Facts

    LocationSeattle, WA

    Description

    About the team On the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.

    About the Team: The Search Growth E-commerce 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 ll Do:

    • Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition.
    • Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow.
    • Push the boundaries of short text and general recommendation technology, with a specific emphasis 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 and E-commerce business.
    • Bachelor or advanced degree in computer science or a related technical discipline.

    Preferred Qualifications

    • 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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