Machine Learning Engineer Project Intern (MultiModal ML Direction) - 2026 Start (BS/MS)
Jun 30, 2026 Singapore
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 10,000+ employees
- Industry: Technology: Consumer Internet
Why you should apply for a job to TikTok:
4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
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).
Responsibilities:
- 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.
Qualifications
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
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).
Responsibilities:
- 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.
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
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).
Responsibilities:
- 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.
Qualifications
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
Responsibilities
ResponsibilitiesTeam 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).
Responsibilities:
- 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.
Qualifications
QualificationsMinimum 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
Additional Information
- Posted: Jun 30, 2026