12 hours ago

(General Hire) Machine Learning Engineer Graduate (Commerce& Content Service & Search Ads) - 2026 Start (BS/MS)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Join TikTok’s Global Monetization Product and Technology teams to help build next-generation ads monetization platforms. You’ll develop large-scale Ads systems and apply machine learning to build targeting strategies, ranking/search components, and recommendation-style solutions. Work with product and business teams on product vision while using strong programming and ML fundamentals to solve complex, high-impact problems across TikTok ads.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Intern level

Key Responsibilities

•Participate in the development of a large-scale Ads system.
•Build state-of-the-art applied machine learning projects.
•Own key targeting components or strategies in the TikTok ads monetization ecosystem.
•Collaborate with product and business teams on product vision.

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.
•Experience in and solid theoretical grounding in machine learning concepts and techniques.
•Excellent programming, debugging, and optimization skills in one or more general purpose programming languages (e.g., Go, C/C++, Python).
•Experience with one or more ML frameworks such as Tensorflow, PyTorch, or MXNet.
•Ability to think critically and formulate clear, concise solutions to problems.

Education:Bachelor's in Software Development, Computer Science, Computer Engineering, or related technical discipline

Skills:Critical thinkingProblem-solvingClear communication

Tech Stack:GoC/C++PythonTensorflowPyTorchMXNetAds systemRecommendationSearchingRanking

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

12 hours ago

(General Hire) Machine Learning Engineer Graduate (Commerce& Content Service & Search Ads) - 2026 Start (BS/MS)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Intern level

Key Responsibilities

•Participate in the development of a large-scale Ads system.
•Build state-of-the-art applied machine learning projects.
•Own key targeting components or strategies in the TikTok ads monetization ecosystem.
•Collaborate with product and business teams on product vision.

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.
•Experience in and solid theoretical grounding in machine learning concepts and techniques.
•Excellent programming, debugging, and optimization skills in one or more general purpose programming languages (e.g., Go, C/C++, Python).
•Experience with one or more ML frameworks such as Tensorflow, PyTorch, or MXNet.
•Ability to think critically and formulate clear, concise solutions to problems.

Education:Bachelor's in Software Development, Computer Science, Computer Engineering, or related technical discipline

Skills:Critical thinkingProblem-solvingClear communication

Tech Stack:GoC/C++PythonTensorflowPyTorchMXNetAds systemRecommendationSearchingRanking

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn