143 jobs for "Machine Learning Engineer, Search Recommendation"

Algorithm Engineer - Global Live - Recommendation Strategy (Singapore)

At TikTok

Posted on Nov 29

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Big Data Engineer, TikTok ShortText Recommendation Architecture

At TikTok

Posted on Sep 1

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Backend Software Engineer, Recommendation Content Understanding Architecture

At TikTok

Posted on Jun 5

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TikTok

Algorithm Engineer - Global Live - Recommendation Strategy (Singapore)

SingaporePosted Nov 29, 2023

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

Job Description
1. Participate in the optimization of TikTok LIVE monetization business and serve the LIVE experience of billions of global users;
2. 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;
3. Deeply participate in product/business discussions, fully analyze and understand user behaviour patterns, and provide optimization directions for the overall business.

Qualifications

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

Preferred Qualifications
1. Experience in large-scale recommend system, advertising system, search engine is preferred;
2. Experience in game value strategy, e-commerce value strategy, and user psychology research is preferred;

Responsibilities

Qualifications

Qualifications

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

Preferred Qualifications
1. Experience in large-scale recommend system, advertising system, search engine is preferred;
2. Experience in game value strategy, e-commerce value strategy, and user psychology research is preferred;

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 5,001 - 10,000 employees
Industry: Entertainment & Gaming

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