15 hours ago

Lead Machine Learning Engineer - Live Streaming 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 evolve TikTok LIVE’s recommendation ecosystem by developing scalable machine-learning classifiers and tools. Partner with product teams to improve model and recommendation strategies based on objectives and user behavior, optimizing content consumption and creator experiences. Apply ML to strengthen content security and enhance the content audit process. Collaborate cross-functionally to grow TikTok/ByteDance in key regional markets.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Develop industry-leading recommendation systems for TikTok LIVE, including scalable ML classifiers and tools.
•Align machine learning approaches with product objectives to improve model and recommendation strategy.
•Analyze user behavior and apply ML algorithms to optimize content consumption and creator production experiences.
•Apply ML to the content security strategy to improve the content audit process.
•Collaborate with cross-functional teams to grow the ByteDance product in important regional markets.

Key Requirements

•Bachelor’s degree in computer science or a related technical field, with at least 2 years of related work experience.
•Experience leading projects and collaborating with teams across different time zones.
•Strong foundation in data structures and algorithms, with proven problem-solving for medium-to-high complexity challenges.
•2+ years of hands-on coding experience in mainstream languages such as Python, Java, or C++.
•Experience delivering tangible outcomes on relevant projects (e.g., model accuracy or performance improvements) or publishing/presenting in technical areas.

Experience:2+ yearsMachine learningRecommendation systems

Education:Bachelor's in computer science

Skills:CommunicationTeamworkProblem-solvingAnalytical skills

Tech Stack:PythonJavaC++

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

Loading job details...

Preparing the role view and application actions.

TikTok

15 hours ago

Lead Machine Learning Engineer - Live Streaming 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

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Develop industry-leading recommendation systems for TikTok LIVE, including scalable ML classifiers and tools.
•Align machine learning approaches with product objectives to improve model and recommendation strategy.
•Analyze user behavior and apply ML algorithms to optimize content consumption and creator production experiences.
•Apply ML to the content security strategy to improve the content audit process.
•Collaborate with cross-functional teams to grow the ByteDance product in important regional markets.

Key Requirements

•Bachelor’s degree in computer science or a related technical field, with at least 2 years of related work experience.
•Experience leading projects and collaborating with teams across different time zones.
•Strong foundation in data structures and algorithms, with proven problem-solving for medium-to-high complexity challenges.
•2+ years of hands-on coding experience in mainstream languages such as Python, Java, or C++.
•Experience delivering tangible outcomes on relevant projects (e.g., model accuracy or performance improvements) or publishing/presenting in technical areas.

Experience:2+ yearsMachine learningRecommendation systems

Education:Bachelor's in computer science

Skills:CommunicationTeamworkProblem-solvingAnalytical skills

Tech Stack:PythonJavaC++

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn