Lead Machine Learning Engineer - User Growth - Recommendation - Singapore
Sep 25, 2025 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
About the Team
The TikTok User Growth (UG) algorithm team is the core engine propelling the rapid growth of TikTok. Facing real-world challenges in manifold scenarios, the team skillfully leverages machine learning techniques on massive data to forge efficient growth pathways.
In close collaboration with product teams, we are responsible for personalized recommendation algorithms for TikTok's hundreds of millions of global users. We are looking for strong research scientists, who are excited about growing their business understanding, building scalable and high-performance algorithms, large models and recommendation systems.
Responsibilities
- Develop large-scale machine learning algorithms and build industry leading recommendation systems to optimize user retention rates.
- Data-driven: connect data to real-world user experiences using superior data sensitivity and analytical skills.
- Using deep understanding of systems and scenarios, deliver end-to-end solutions to achieve the growth targets in diverse scenarios and recommendation systems.
- Work cross-functionally with product managers, data scientists, and engineers to understand insights, formulate problems, and design, refine, and test machine learning algorithms and strategies.
Qualifications
Minimum Qualifications
- Master's degree (or higher) with a background in computer science, machine learning, or related fields.
- Experienced in leading projects and collaborating with teams across different timezones;
- Minimum 4 years hands-on experience in one or more of the following areas: recommendation systems, machine learning, deep learning, large language model, computer vision, NLP, causal inference or multimodal machine learning.
- Strong proficiency in Python and/or C/C++, and familiarity with a machine learning framework. Have a deep understanding of data structures and algorithms.
- Good communication and teamwork skills are required. Applicants must be passionate about learning new techniques and tackling challenging problems.
About the Team
The TikTok User Growth (UG) algorithm team is the core engine propelling the rapid growth of TikTok. Facing real-world challenges in manifold scenarios, the team skillfully leverages machine learning techniques on massive data to forge efficient growth pathways.
In close collaboration with product teams, we are responsible for personalized recommendation algorithms for TikTok's hundreds of millions of global users. We are looking for strong research scientists, who are excited about growing their business understanding, building scalable and high-performance algorithms, large models and recommendation systems.
Responsibilities
- Develop large-scale machine learning algorithms and build industry leading recommendation systems to optimize user retention rates.
- Data-driven: connect data to real-world user experiences using superior data sensitivity and analytical skills.
- Using deep understanding of systems and scenarios, deliver end-to-end solutions to achieve the growth targets in diverse scenarios and recommendation systems.
- Work cross-functionally with product managers, data scientists, and engineers to understand insights, formulate problems, and design, refine, and test machine learning algorithms and strategies.
Minimum Qualifications
- Master's degree (or higher) with a background in computer science, machine learning, or related fields.
- Experienced in leading projects and collaborating with teams across different timezones;
- Minimum 4 years hands-on experience in one or more of the following areas: recommendation systems, machine learning, deep learning, large language model, computer vision, NLP, causal inference or multimodal machine learning.
- Strong proficiency in Python and/or C/C++, and familiarity with a machine learning framework. Have a deep understanding of data structures and algorithms.
- Good communication and teamwork skills are required. Applicants must be passionate about learning new techniques and tackling challenging problems.
About the Team
The TikTok User Growth (UG) algorithm team is the core engine propelling the rapid growth of TikTok. Facing real-world challenges in manifold scenarios, the team skillfully leverages machine learning techniques on massive data to forge efficient growth pathways.
In close collaboration with product teams, we are responsible for personalized recommendation algorithms for TikTok's hundreds of millions of global users. We are looking for strong research scientists, who are excited about growing their business understanding, building scalable and high-performance algorithms, large models and recommendation systems.
Responsibilities
- Develop large-scale machine learning algorithms and build industry leading recommendation systems to optimize user retention rates.
- Data-driven: connect data to real-world user experiences using superior data sensitivity and analytical skills.
- Using deep understanding of systems and scenarios, deliver end-to-end solutions to achieve the growth targets in diverse scenarios and recommendation systems.
- Work cross-functionally with product managers, data scientists, and engineers to understand insights, formulate problems, and design, refine, and test machine learning algorithms and strategies.
Qualifications
Minimum Qualifications
- Master's degree (or higher) with a background in computer science, machine learning, or related fields.
- Experienced in leading projects and collaborating with teams across different timezones;
- Minimum 4 years hands-on experience in one or more of the following areas: recommendation systems, machine learning, deep learning, large language model, computer vision, NLP, causal inference or multimodal machine learning.
- Strong proficiency in Python and/or C/C++, and familiarity with a machine learning framework. Have a deep understanding of data structures and algorithms.
- Good communication and teamwork skills are required. Applicants must be passionate about learning new techniques and tackling challenging problems.
Responsibilities
ResponsibilitiesAbout the Team
The TikTok User Growth (UG) algorithm team is the core engine propelling the rapid growth of TikTok. Facing real-world challenges in manifold scenarios, the team skillfully leverages machine learning techniques on massive data to forge efficient growth pathways.
In close collaboration with product teams, we are responsible for personalized recommendation algorithms for TikTok's hundreds of millions of global users. We are looking for strong research scientists, who are excited about growing their business understanding, building scalable and high-performance algorithms, large models and recommendation systems.
Responsibilities
- Develop large-scale machine learning algorithms and build industry leading recommendation systems to optimize user retention rates.
- Data-driven: connect data to real-world user experiences using superior data sensitivity and analytical skills.
- Using deep understanding of systems and scenarios, deliver end-to-end solutions to achieve the growth targets in diverse scenarios and recommendation systems.
- Work cross-functionally with product managers, data scientists, and engineers to understand insights, formulate problems, and design, refine, and test machine learning algorithms and strategies.
Qualifications
QualificationsMinimum Qualifications
- Master's degree (or higher) with a background in computer science, machine learning, or related fields.
- Experienced in leading projects and collaborating with teams across different timezones;
- Minimum 4 years hands-on experience in one or more of the following areas: recommendation systems, machine learning, deep learning, large language model, computer vision, NLP, causal inference or multimodal machine learning.
- Strong proficiency in Python and/or C/C++, and familiarity with a machine learning framework. Have a deep understanding of data structures and algorithms.
- Good communication and teamwork skills are required. Applicants must be passionate about learning new techniques and tackling challenging problems.
Additional Information
- Posted: Sep 25, 2025