Machine Learning Engineer Project Intern (MultiModal ML Direction) - 2026 Start (BS/MS)

Machine Learning Engineer Project Intern (MultiModal ML Direction) - 2026 Start (BS/MS) at TikTok in Singapore.

Responsibilities

Team Introduction

The success of TikTok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. The Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.

• Applications will be reviewed on a rolling basis - we encourage you to apply early.
• Successful candidates must be able to commit to at least 3 months long internship period (full-time).
• Research and practice large model prompt word engineering, and explore the application of large models in content understanding tasks, including feature engineering, algorithm design, training, and deployment
• Design and implement models for video classification, text content analysis, etc. in short video content understanding to deeply support the growth of AI business
• Support the entire process of AI projects, including model data collection, training, evaluation, delivery and iteration.

Requirements

Minimum Qualification(s)

• Currently pursuing an Undergraduate/Master in computer science, artificial intelligence, data science or related discipline.
• Familiar with model development processes, understand common deep learning frameworks (such as PyTorch, TensorFlow) ,practical experience in areas such as Machine Learning, NLP, CV, MultiModal Machine Learning, etc., those with top computer science conference papers will be given priority ;
• Proficient in using Python for data cleaning, building machine learning and deep learning models;
• Strong communication and written skills in English.
• Able to commit full-time for a 3-month duration

Preferred Qualification(s)

• Clear thinking logic, strong data sensitivity, strong learning ability, and proactive work attitude, having algorithm internship experience will be preferred;

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

About the Company

The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science.

At TikTok, our Global Business Solutions (GBS) team plays a key role in generating revenue by promoting our advertising solutions, onboarding new clients, driving ad campaigns, and more. As the TikTok community grows at an unprecedented speed around the world, our GBS team leads groundbreaking projects that are changing the landscape of the advertising industry in real time.

We're seeking an analytically driven, and detail-oriented Client Solutions Manager (CSM) Intern to join our Ecommerce Team. As a CSM, you will partner closely with Client Partners and Client Solutions Managers to drive revenue by identifying opportunities, leveraging data insights, and delivering consultative solutions for advertisers.

This role centers on client education, relationship growth, data analysis, and campaign success. You will provide strategic recommendations to both clients and internal teams, ensuring campaigns achieve business objectives while optimizing long-term partnerships. Success in this role requires strong data analytics skills, adaptability in a fast-paced environment, and a test-and-learn mindset to uncover the best solutions.