PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start
Jan 23, 2025 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
Team Introduction
Building a world where people can safely discover, create and connect. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. We have invested heavily in human and machine-based moderation to remove harmful content quickly and often before it reaches our general community.
We are looking for talented individuals to join us in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.
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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
As a Machine Learning Engineer, you'll have the chance to work with our clients and teams to address key business problems and identify areas of growth for the company. With your education and experience, you will be able to take on real-world challenges from day one.
Responsibilities
- Collaborate on research projects within the team or across countries
- Work with our world-class engineers to build industry-leading trust and safety systems for TikTok
- Develop and build up highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies
- Improve our trust and safety strategy and work on model iterations
- Collaborate with cross-functional teams to protect TikTok globally
- Present research outcomes to internal and/or external audiences
- Work with engineering teams to apply technical achievements from our research to product prototyping.
- Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms
- Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams
Qualifications
Minimum Qualifications
1. Currently pursuing your PhD or Master degree in Computer Science or related engineering field.
2. Solid knowledge in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision
3. Firm understanding of data structures and algorithms
4. Great communication and teamwork skills
Preferred Qualifications
1. Passion about techniques and solving challenging problems
2. Previous experience in applications of machine learning, pattern recognition, NLP, data mining, or computer vision
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
Team Introduction
Building a world where people can safely discover, create and connect. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. We have invested heavily in human and machine-based moderation to remove harmful content quickly and often before it reaches our general community.
We are looking for talented individuals to join us in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.
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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
As a Machine Learning Engineer, you'll have the chance to work with our clients and teams to address key business problems and identify areas of growth for the company. With your education and experience, you will be able to take on real-world challenges from day one.
Responsibilities
- Collaborate on research projects within the team or across countries
- Work with our world-class engineers to build industry-leading trust and safety systems for TikTok
- Develop and build up highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies
- Improve our trust and safety strategy and work on model iterations
- Collaborate with cross-functional teams to protect TikTok globally
- Present research outcomes to internal and/or external audiences
- Work with engineering teams to apply technical achievements from our research to product prototyping.
- Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms
- Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams
Minimum Qualifications
1. Currently pursuing your PhD or Master degree in Computer Science or related engineering field.
2. Solid knowledge in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision
3. Firm understanding of data structures and algorithms
4. Great communication and teamwork skills
Preferred Qualifications
1. Passion about techniques and solving challenging problems
2. Previous experience in applications of machine learning, pattern recognition, NLP, data mining, or computer vision
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
Team Introduction
Building a world where people can safely discover, create and connect. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. We have invested heavily in human and machine-based moderation to remove harmful content quickly and often before it reaches our general community.
We are looking for talented individuals to join us in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.
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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
As a Machine Learning Engineer, you'll have the chance to work with our clients and teams to address key business problems and identify areas of growth for the company. With your education and experience, you will be able to take on real-world challenges from day one.
Responsibilities
- Collaborate on research projects within the team or across countries
- Work with our world-class engineers to build industry-leading trust and safety systems for TikTok
- Develop and build up highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies
- Improve our trust and safety strategy and work on model iterations
- Collaborate with cross-functional teams to protect TikTok globally
- Present research outcomes to internal and/or external audiences
- Work with engineering teams to apply technical achievements from our research to product prototyping.
- Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms
- Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams
Qualifications
Minimum Qualifications
1. Currently pursuing your PhD or Master degree in Computer Science or related engineering field.
2. Solid knowledge in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision
3. Firm understanding of data structures and algorithms
4. Great communication and teamwork skills
Preferred Qualifications
1. Passion about techniques and solving challenging problems
2. Previous experience in applications of machine learning, pattern recognition, NLP, data mining, or computer vision
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
ResponsibilitiesTeam Introduction
Building a world where people can safely discover, create and connect. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. We have invested heavily in human and machine-based moderation to remove harmful content quickly and often before it reaches our general community.
We are looking for talented individuals to join us in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.
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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
As a Machine Learning Engineer, you'll have the chance to work with our clients and teams to address key business problems and identify areas of growth for the company. With your education and experience, you will be able to take on real-world challenges from day one.
Responsibilities
- Collaborate on research projects within the team or across countries
- Work with our world-class engineers to build industry-leading trust and safety systems for TikTok
- Develop and build up highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies
- Improve our trust and safety strategy and work on model iterations
- Collaborate with cross-functional teams to protect TikTok globally
- Present research outcomes to internal and/or external audiences
- Work with engineering teams to apply technical achievements from our research to product prototyping.
- Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms
- Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams
Qualifications
QualificationsMinimum Qualifications
1. Currently pursuing your PhD or Master degree in Computer Science or related engineering field.
2. Solid knowledge in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision
3. Firm understanding of data structures and algorithms
4. Great communication and teamwork skills
Preferred Qualifications
1. Passion about techniques and solving challenging problems
2. Previous experience in applications of machine learning, pattern recognition, NLP, data mining, or computer vision
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: Jan 23, 2025