Algorithm Engineer Project Intern (TikTok Live Revenue) - 2027 start - Project Intern (TikTok Global LIVE) - 2027 Start
10 days ago Sydney, Australia
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
The TikTok Global Live R&D team builds and maintains the products behind TikTok's live streaming business. Our work spans social interaction, monetization activities, the creator ecosystem, subscription services, game streaming, and guild and operations platforms, supporting the product's rapid growth in global markets.
Behind those products sit hard technical problems in service architecture, large model algorithms, and foundation technologies. Solving them keeps a fast-growing business reliable, efficient, and secure. At the same time, each business scenario needs technical solutions built for its own demands.
You will work alongside a strong team on problems that move real product metrics and user experience, where every line of code you write reaches hundreds of millions of users.
TikTok LIVE Revenue:
TikTok Live revenue engineering team is responsible for building the cutting-edge revenue ecosystem which includes gifting and other revenue features that are innovative, secure and intuitive for our users. As an important member of the engineering team, you will build solutions that affect millions of users and live streamers.
We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.
Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
We are looking for talented individuals to join us for an internship in November/December 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company.
As a Machine Learning Engineer / Scientist, you will work on algorithmic solutions that support large-scale LIVE activities for users around the world. You will apply your research background and machine learning expertise to solve real-world business challenges, optimize activity performance, and drive sustainable business growth.
Responsibilities
- Build and optimize machine learning systems that provide algorithmic support for global large-scale LIVE activities.
- Analyze activity data, develop strategy models, and use data-driven approaches to improve user engagement and business growth.
- Design, train, and deploy scalable models and algorithms to support activity recommendation, ranking, targeting, and performance optimization.
- Understand business objectives and work closely with product and operations teams to define long-term algorithm strategies and roadmap.
- Collaborate with cross-functional teams to continuously improve model performance, experimentation efficiency, and business impact.
Qualifications
Minimum Qualifications
1. Currently pursuing an Undergraduate in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
2. Solid knowledge in at least one of the following areas: machine learning, deep learning, LLM, agent, causal inference.
3. Familiar with the at least one of the data-centric domains: recommendation, generation, ab testing.
4. Great communication skill and ownership.
Preferred Qualifications
1. Proven passion about solving real problems.
2. Basic knowledge about algorithm developement, deployment and serving.
3. Previous experience in tech companies as the related role.
4. Trackable academic achievement in recent 3 years.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com.
The TikTok Global Live R&D team builds and maintains the products behind TikTok's live streaming business. Our work spans social interaction, monetization activities, the creator ecosystem, subscription services, game streaming, and guild and operations platforms, supporting the product's rapid growth in global markets.
Behind those products sit hard technical problems in service architecture, large model algorithms, and foundation technologies. Solving them keeps a fast-growing business reliable, efficient, and secure. At the same time, each business scenario needs technical solutions built for its own demands.
You will work alongside a strong team on problems that move real product metrics and user experience, where every line of code you write reaches hundreds of millions of users.
TikTok LIVE Revenue:
TikTok Live revenue engineering team is responsible for building the cutting-edge revenue ecosystem which includes gifting and other revenue features that are innovative, secure and intuitive for our users. As an important member of the engineering team, you will build solutions that affect millions of users and live streamers.
We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.
Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
We are looking for talented individuals to join us for an internship in November/December 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company.
As a Machine Learning Engineer / Scientist, you will work on algorithmic solutions that support large-scale LIVE activities for users around the world. You will apply your research background and machine learning expertise to solve real-world business challenges, optimize activity performance, and drive sustainable business growth.
Responsibilities
- Build and optimize machine learning systems that provide algorithmic support for global large-scale LIVE activities.
- Analyze activity data, develop strategy models, and use data-driven approaches to improve user engagement and business growth.
- Design, train, and deploy scalable models and algorithms to support activity recommendation, ranking, targeting, and performance optimization.
- Understand business objectives and work closely with product and operations teams to define long-term algorithm strategies and roadmap.
- Collaborate with cross-functional teams to continuously improve model performance, experimentation efficiency, and business impact.
Minimum Qualifications
1. Currently pursuing an Undergraduate in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
2. Solid knowledge in at least one of the following areas: machine learning, deep learning, LLM, agent, causal inference.
3. Familiar with the at least one of the data-centric domains: recommendation, generation, ab testing.
4. Great communication skill and ownership.
Preferred Qualifications
1. Proven passion about solving real problems.
2. Basic knowledge about algorithm developement, deployment and serving.
3. Previous experience in tech companies as the related role.
4. Trackable academic achievement in recent 3 years.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com.
The TikTok Global Live R&D team builds and maintains the products behind TikTok's live streaming business. Our work spans social interaction, monetization activities, the creator ecosystem, subscription services, game streaming, and guild and operations platforms, supporting the product's rapid growth in global markets.
Behind those products sit hard technical problems in service architecture, large model algorithms, and foundation technologies. Solving them keeps a fast-growing business reliable, efficient, and secure. At the same time, each business scenario needs technical solutions built for its own demands.
You will work alongside a strong team on problems that move real product metrics and user experience, where every line of code you write reaches hundreds of millions of users.
TikTok LIVE Revenue:
TikTok Live revenue engineering team is responsible for building the cutting-edge revenue ecosystem which includes gifting and other revenue features that are innovative, secure and intuitive for our users. As an important member of the engineering team, you will build solutions that affect millions of users and live streamers.
We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.
Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
We are looking for talented individuals to join us for an internship in November/December 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company.
As a Machine Learning Engineer / Scientist, you will work on algorithmic solutions that support large-scale LIVE activities for users around the world. You will apply your research background and machine learning expertise to solve real-world business challenges, optimize activity performance, and drive sustainable business growth.
Responsibilities
- Build and optimize machine learning systems that provide algorithmic support for global large-scale LIVE activities.
- Analyze activity data, develop strategy models, and use data-driven approaches to improve user engagement and business growth.
- Design, train, and deploy scalable models and algorithms to support activity recommendation, ranking, targeting, and performance optimization.
- Understand business objectives and work closely with product and operations teams to define long-term algorithm strategies and roadmap.
- Collaborate with cross-functional teams to continuously improve model performance, experimentation efficiency, and business impact.
Qualifications
Minimum Qualifications
1. Currently pursuing an Undergraduate in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
2. Solid knowledge in at least one of the following areas: machine learning, deep learning, LLM, agent, causal inference.
3. Familiar with the at least one of the data-centric domains: recommendation, generation, ab testing.
4. Great communication skill and ownership.
Preferred Qualifications
1. Proven passion about solving real problems.
2. Basic knowledge about algorithm developement, deployment and serving.
3. Previous experience in tech companies as the related role.
4. Trackable academic achievement in recent 3 years.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com.
Responsibilities
ResponsibilitiesThe TikTok Global Live R&D team builds and maintains the products behind TikTok's live streaming business. Our work spans social interaction, monetization activities, the creator ecosystem, subscription services, game streaming, and guild and operations platforms, supporting the product's rapid growth in global markets.
Behind those products sit hard technical problems in service architecture, large model algorithms, and foundation technologies. Solving them keeps a fast-growing business reliable, efficient, and secure. At the same time, each business scenario needs technical solutions built for its own demands.
You will work alongside a strong team on problems that move real product metrics and user experience, where every line of code you write reaches hundreds of millions of users.
TikTok LIVE Revenue:
TikTok Live revenue engineering team is responsible for building the cutting-edge revenue ecosystem which includes gifting and other revenue features that are innovative, secure and intuitive for our users. As an important member of the engineering team, you will build solutions that affect millions of users and live streamers.
We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.
Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
We are looking for talented individuals to join us for an internship in November/December 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company.
As a Machine Learning Engineer / Scientist, you will work on algorithmic solutions that support large-scale LIVE activities for users around the world. You will apply your research background and machine learning expertise to solve real-world business challenges, optimize activity performance, and drive sustainable business growth.
Responsibilities
- Build and optimize machine learning systems that provide algorithmic support for global large-scale LIVE activities.
- Analyze activity data, develop strategy models, and use data-driven approaches to improve user engagement and business growth.
- Design, train, and deploy scalable models and algorithms to support activity recommendation, ranking, targeting, and performance optimization.
- Understand business objectives and work closely with product and operations teams to define long-term algorithm strategies and roadmap.
- Collaborate with cross-functional teams to continuously improve model performance, experimentation efficiency, and business impact.
Qualifications
QualificationsMinimum Qualifications
1. Currently pursuing an Undergraduate in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
2. Solid knowledge in at least one of the following areas: machine learning, deep learning, LLM, agent, causal inference.
3. Familiar with the at least one of the data-centric domains: recommendation, generation, ab testing.
4. Great communication skill and ownership.
Preferred Qualifications
1. Proven passion about solving real problems.
2. Basic knowledge about algorithm developement, deployment and serving.
3. Previous experience in tech companies as the related role.
4. Trackable academic achievement in recent 3 years.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com.
Additional Information
- Posted: 10 days ago