Algorithm Engineer - Global Live - Recommendation Strategy (Singapore)
Nov 29, 2023 Singapore
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 10,000+ employees
- Industry: Technology: Consumer Internet
Why you should apply for a job to TikTok:
4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
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;
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.
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;
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
ResponsibilitiesThe 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
QualificationsMinimum 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;
Additional Information
- Posted: Nov 29, 2023