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JobsTikTok

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

TikTok

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

TikTok

Sydney, Australia

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Wellness benefits

Health, dental, and vision coverage

Remote work flexibility

Annual team offsites

Required Skills

Airflow

PyTorch

TensorFlow

About the Role

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.

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

  • 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

Qualifications

Minimum Qualifications

  • Currently pursuing your bachelors or completed within 1 year; Computer Science or related engineering field
  • Solid knowledge in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision
  • Firm understanding of data structures and algorithms
  • Great communication and teamwork skills

Preferred Qualifications

  • Passion about techniques and solving challenging problems
  • Previous experience in applications of machine learning, pattern recognition, NLP, data mining, or computer vision
  • Currently pursuing your PhD or Master degree in Computer Science or related engineering field

Additional Information

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

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About TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

Employees

Los Angeles

Headquarters

$220B

Valuation

Reviews

3.1

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Limited positive feedback available

Company size allows for potential opportunities

Technology platform experience

Cons

Mass layoffs and poor handling of terminations

Unprofessional management and HR behavior

Exposure to traumatic content without adequate support

Salary Ranges

52 data points

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1 reports

$273,000

total / year

Base

$210,000

Stock

-

Bonus

-

$273,000

$273,000

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Structures