Algorithm Engineer, Global Live - Operation Intelligence - Singapore
Apr 15, 2026 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
Team Introduction
The Live Platform Intelligence team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and creator engagement, which includes: Build models for automated and intelligent operations to improve the efficiency and effectiveness of TT Live supply end, as well as discover and handle inappropriate user behavior and business anomaly, to assure the steady and persistent running of TT Live business. Spearheading analytical excellence with a penchant for creative problem-solving, our team functions at the intersection of data science and live content, ensuring an engaging and personalized experience for our global community of creators and viewers.
Responsibilities
1. Participate in the optimization of LIVE business and serve the LIVE experience of billions of global users.
2. Adopt cutting-edge machine learning models to improve business metrics (LIVE revenue and LIVE content quality), and bring creators/operators the ultimate experience in LIVE business.
3. Deeply participate in product/business discussions, analyze and understand user behaviour patterns, and provide optimization directions for improvement.
Qualifications
Minimum Qualifications
- Master's degree or above in Computer Science, or equivalent practical experience
- Familiar with commonly used machine learning and deep learning algorithms, including but not limited to DNN, NLP, CV, etc.
- Familiar with at least one of Flink, Spark, Hive etc., with big data parallel processing experience
- Excellent problem-solving and critical thinking skills, and solid maths foundation, including probability statistics, numerical optimization, etc.
Preferred Qualification
- Experience in large-scale recommend/advertising systems, risk control systems or LLM is preferred
Team Introduction
The Live Platform Intelligence team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and creator engagement, which includes: Build models for automated and intelligent operations to improve the efficiency and effectiveness of TT Live supply end, as well as discover and handle inappropriate user behavior and business anomaly, to assure the steady and persistent running of TT Live business. Spearheading analytical excellence with a penchant for creative problem-solving, our team functions at the intersection of data science and live content, ensuring an engaging and personalized experience for our global community of creators and viewers.
Responsibilities
1. Participate in the optimization of LIVE business and serve the LIVE experience of billions of global users.
2. Adopt cutting-edge machine learning models to improve business metrics (LIVE revenue and LIVE content quality), and bring creators/operators the ultimate experience in LIVE business.
3. Deeply participate in product/business discussions, analyze and understand user behaviour patterns, and provide optimization directions for improvement.
Minimum Qualifications
- Master's degree or above in Computer Science, or equivalent practical experience
- Familiar with commonly used machine learning and deep learning algorithms, including but not limited to DNN, NLP, CV, etc.
- Familiar with at least one of Flink, Spark, Hive etc., with big data parallel processing experience
- Excellent problem-solving and critical thinking skills, and solid maths foundation, including probability statistics, numerical optimization, etc.
Preferred Qualification
- Experience in large-scale recommend/advertising systems, risk control systems or LLM is preferred
Team Introduction
The Live Platform Intelligence team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and creator engagement, which includes: Build models for automated and intelligent operations to improve the efficiency and effectiveness of TT Live supply end, as well as discover and handle inappropriate user behavior and business anomaly, to assure the steady and persistent running of TT Live business. Spearheading analytical excellence with a penchant for creative problem-solving, our team functions at the intersection of data science and live content, ensuring an engaging and personalized experience for our global community of creators and viewers.
Responsibilities
1. Participate in the optimization of LIVE business and serve the LIVE experience of billions of global users.
2. Adopt cutting-edge machine learning models to improve business metrics (LIVE revenue and LIVE content quality), and bring creators/operators the ultimate experience in LIVE business.
3. Deeply participate in product/business discussions, analyze and understand user behaviour patterns, and provide optimization directions for improvement.
Qualifications
Minimum Qualifications
- Master's degree or above in Computer Science, or equivalent practical experience
- Familiar with commonly used machine learning and deep learning algorithms, including but not limited to DNN, NLP, CV, etc.
- Familiar with at least one of Flink, Spark, Hive etc., with big data parallel processing experience
- Excellent problem-solving and critical thinking skills, and solid maths foundation, including probability statistics, numerical optimization, etc.
Preferred Qualification
- Experience in large-scale recommend/advertising systems, risk control systems or LLM is preferred
Responsibilities
ResponsibilitiesTeam Introduction
The Live Platform Intelligence team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and creator engagement, which includes: Build models for automated and intelligent operations to improve the efficiency and effectiveness of TT Live supply end, as well as discover and handle inappropriate user behavior and business anomaly, to assure the steady and persistent running of TT Live business. Spearheading analytical excellence with a penchant for creative problem-solving, our team functions at the intersection of data science and live content, ensuring an engaging and personalized experience for our global community of creators and viewers.
Responsibilities
1. Participate in the optimization of LIVE business and serve the LIVE experience of billions of global users.
2. Adopt cutting-edge machine learning models to improve business metrics (LIVE revenue and LIVE content quality), and bring creators/operators the ultimate experience in LIVE business.
3. Deeply participate in product/business discussions, analyze and understand user behaviour patterns, and provide optimization directions for improvement.
Qualifications
QualificationsMinimum Qualifications
- Master's degree or above in Computer Science, or equivalent practical experience
- Familiar with commonly used machine learning and deep learning algorithms, including but not limited to DNN, NLP, CV, etc.
- Familiar with at least one of Flink, Spark, Hive etc., with big data parallel processing experience
- Excellent problem-solving and critical thinking skills, and solid maths foundation, including probability statistics, numerical optimization, etc.
Preferred Qualification
- Experience in large-scale recommend/advertising systems, risk control systems or LLM is preferred
Additional Information
- Posted: Apr 15, 2026