15 hours ago

Lead Machine Learning Engineer - User Growth - Recommendation - Singapore

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Build and scale TikTok’s user growth recommendation systems, using large-scale machine learning to optimize user retention. Partner with product managers, data scientists, and engineers to translate real user insights into end-to-end algorithm development, testing, and iteration. Bring data sensitivity and analytical rigor to connect massive datasets to user experiences, delivering high-performance models and strategies across diverse scenarios.

Location: Singapore

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Develop large-scale machine learning algorithms and build recommendation systems to optimize user retention.
•Use data sensitivity and analytical skills to connect real-world user experiences to data signals.
•Deliver end-to-end solutions using deep understanding of systems and scenarios to meet growth targets across recommendation scenarios.
•Work cross-functionally with product managers, data scientists, and engineers to understand insights and formulate problems.
•Design, refine, and test machine learning algorithms and strategies in support of growth goals.

Key Requirements

•Master’s degree (or higher) in computer science, machine learning, or a related field.
•At least 4 years of hands-on experience in areas such as recommendation systems, machine learning, deep learning, large language models, computer vision, NLP, causal inference, or multimodal machine learning.
•Strong proficiency in Python and/or C/C++, plus familiarity with a machine learning framework.
•In-depth understanding of data structures and algorithms.
•Strong communication and teamwork skills; able to lead projects and collaborate across teams in different time zones.

Experience:4+ yearsRecommendation systemsMachine learningDeep learningLarge language modelsComputer visionNLPCausal inferenceMultimodal machine learning

Education:Master's

Skills:CommunicationTeamworkCross-functional collaborationProblem solvingLearning mindset

Tech Stack:PythonC/C++Machine learning framework

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

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TikTok

15 hours ago

Lead Machine Learning Engineer - User Growth - Recommendation - Singapore

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: Singapore

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Develop large-scale machine learning algorithms and build recommendation systems to optimize user retention.
•Use data sensitivity and analytical skills to connect real-world user experiences to data signals.
•Deliver end-to-end solutions using deep understanding of systems and scenarios to meet growth targets across recommendation scenarios.
•Work cross-functionally with product managers, data scientists, and engineers to understand insights and formulate problems.
•Design, refine, and test machine learning algorithms and strategies in support of growth goals.

Key Requirements

•Master’s degree (or higher) in computer science, machine learning, or a related field.
•At least 4 years of hands-on experience in areas such as recommendation systems, machine learning, deep learning, large language models, computer vision, NLP, causal inference, or multimodal machine learning.
•Strong proficiency in Python and/or C/C++, plus familiarity with a machine learning framework.
•In-depth understanding of data structures and algorithms.
•Strong communication and teamwork skills; able to lead projects and collaborate across teams in different time zones.

Experience:4+ yearsRecommendation systemsMachine learningDeep learningLarge language modelsComputer visionNLPCausal inferenceMultimodal machine learning

Education:Master's

Skills:CommunicationTeamworkCross-functional collaborationProblem solvingLearning mindset

Tech Stack:PythonC/C++Machine learning framework

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn