13 hours ago

Machine Learning Engineer Graduate (TikTok Recommendation-Live) - 2026 Start (BS/MS)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Build and improve production recommendation models that drive TikTok’s content consumption and user experience. You’ll develop scalable classifiers and ML tools, refine recommendation strategy based on product objectives, and apply ML to user behavior and content security/auditing. Collaborate cross-functionally to grow product impact in key regional markets while launching your graduate career with onboarding in 2026.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Graduate level

Key Responsibilities

•Build an industry-leading recommendation system, including scalable classifiers and ML tools.
•Translate product objectives into ML techniques and improve model and recommendation strategy.
•Use user behavior understanding and ML algorithms to optimize content consumption and production experience.
•Apply ML algorithms to support content security strategy and improve content audit processes.
•Partner with cross-functional teams to grow product impact in important regional markets.

Key Requirements

•Completing or recently completed a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•Solid experience with data structures or algorithms.
•Software development experience with hands-on coding in a general-purpose programming language.
•Strong communication and teamwork skills.
•Passion for technologies and solving challenging problems.

Education:

Skills:CommunicationTeamworkProblem-solvingCollaboration

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

13 hours ago

Machine Learning Engineer Graduate (TikTok Recommendation-Live) - 2026 Start (BS/MS)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Graduate level

Key Responsibilities

•Build an industry-leading recommendation system, including scalable classifiers and ML tools.
•Translate product objectives into ML techniques and improve model and recommendation strategy.
•Use user behavior understanding and ML algorithms to optimize content consumption and production experience.
•Apply ML algorithms to support content security strategy and improve content audit processes.
•Partner with cross-functional teams to grow product impact in important regional markets.

Key Requirements

•Completing or recently completed a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•Solid experience with data structures or algorithms.
•Software development experience with hands-on coding in a general-purpose programming language.
•Strong communication and teamwork skills.
•Passion for technologies and solving challenging problems.

Education:

Skills:CommunicationTeamworkProblem-solvingCollaboration

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn