PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start

3+ months ago• Sydney, Australia
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About Us

Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
Size: 5001-10000 employees

Industry: Entertainment & Gaming, Social Media, Technology

Responsibilities:

Team Introduction
Building a world where people can safely discover, create and connect. The Trust & Safety (T&S) team at Tik Tok 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 Tik Tok.

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 Tik Tok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

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

Client-provided location(s): Sydney, Australia

Job ID: Tik Tok-7461813875965610258

Employment Type: OTHER

Posted: 2025-01-24T13:25:38
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Perks and Benefits

Health and Wellness

• Health Insurance
• Dental Insurance
• Vision Insurance
• HSA
• Life Insurance
• Fitness Subsidies
• Short-Term Disability
• Long-Term Disability
• On-Site Gym
• Mental Health Benefits
• Virtual Fitness Classes

Parental Benefits

• Fertility Benefits
• Adoption Assistance Program
• Family Support Resources

Work Flexibility

• Flexible Work Hours
• Hybrid Work Opportunities

Office Life and Perks

• Casual Dress
• Snacks
• Pet-friendly Office
• Happy Hours
• Some Meals Provided
• Company Outings
• On-Site Cafeteria
• Holiday Events

Vacation and Time Off

• Paid Vacation
• Paid Holidays
• Personal/Sick Days
• Leave of Absence

Financial and Retirement

• 401(K) With Company Matching
• Performance Bonus
• Company Equity

Professional Development

• Promote From Within
• Access to Online Courses
• Leadership Training Program
• Associate or Rotational Training Program
• Mentor Program

Diversity and Inclusion

• Diversity, Equity, and Inclusion Program
• Employee Resource Groups (ERG)

Company Videos

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