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Algorithm Engineer, Global LIVE - Strategy ( Singapore ) - D01 Cecil, Marina, People’s Park, Raffles Place, SG

Algorithm Engineer, Global LIVE - Strategy ( Singapore ) - D01 Cecil, Marina, People’s Park, Raffles Place, SG

TIKTOK PTE. LTD.D01 Cecil, Marina, People’s Park, Raffles Place, SG
5 days ago
Job description

Roles & Responsibilities

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities

The strategy team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and user engagement, which includes :

  • Build prediction / uplift NN model to improve LIVE feature intelligence;
  • Mine and interfere potential crowds to gain a higher ROI operation for both LIVE streamer and watcher;
  • Make detailed analysis on user data and system data to find out user experience optimiaztion zoom;
  • Other work like user growth strategy, cold-start strategy, etc.

Job Description

  • Participate in the optimization of ByteDance LIVE monetization business and serve the LIVE experience of billions of global users;
  • Adopt cutting-edge machine learning model to scientifically model massive user behaviour and consumption data, build high-performance / high-reliability architecture services, and bring users the ultimate experience in LIVE consumption;
  • Deeply participate in product / business discussions, fully analyze and understand user behaviour patterns, and provide optimization directions for the overall business.
  • Qualifications

    Minimum Qualifications

  • Familiar with C / C++ / Python development, familiar with Linux multi-threaded / multi-process;
  • Familiar with commonly used machine learning and deep learning algorithms, including but not limited to boost machine, dnn, reinforcement learning, etc.;
  • Solid maths foundation, including probability statistics, numerical optimization, etc., sensitive to data, good at discovering, analyzing and solving problems from data;
  • Familiar with at least one of Flink, Spark, Hive etc., with big data parallel processing experience;
  • Minimum 3 years relevant work experience from a large-scale internet business
  • Preferred Qualifications

  • Experience in large-scale recommend system, advertising system, search engine is preferred
  • Experience in game value strategy, e-commerce value strategy, and user psychology research is preferred
  • Tell employers what skills you have

    Tableau

    TensorFlow

    Machine Learning

    Business Intelligence

    Image Processing

    Big Data

    Pipelines

    Risk Control

    Artificial Intelligence

    Computer Vision

    PyTorch

    Statistics

    Data Science

    Data Visualization

    Signal Processing

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    Algorithm Engineer • D01 Cecil, Marina, People’s Park, Raffles Place, SG

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