TikTok20 followers48 jobs

Machine Learning Engineer - Trust and Safety, NLP (Australia)

Mid levelFull-timeHybridSydney NSW, AustraliaDataInformation technologySoftware engineeringPosted 1 month ago
View your fit0 of 9 criteria met

About the job

This job is about building a safer online community at TikTok through innovative Trust & Safety initiatives. By designing and deploying advanced machine learning models, you will play a crucial role in ensuring that users can discover, create, and connect safely. The team thrives on collaboration, creativity, and a shared passion for tackling challenging problems together.

You'll be responsible for

🛡️

Building content safety systems

Building industry-leading content safety systems for TikTok to ensure a safe user experience.
🔍

Developing classifiers and algorithms

Developing highly-scalable classifiers, tools, models, and algorithms leveraging cutting-edge machine learning, computer vision, and data mining technologies.
🤝

Collaborating with cross-functional teams

Working with cross-functional teams to protect TikTok globally and improve trust and safety strategies.

Skills you'll need

🤖

Machine learning expertise

Solid experience in designing and deploying state-of-the-art models in machine learning, particularly in NLP and CV areas.
💻

Deep learning frameworks

Proficient in deep learning frameworks such as PyTorch and TensorFlow, and programming languages like Python or Java.
🗣️

Communication and teamwork

Good communication and teamwork skills, with a passion for learning new techniques and tackling challenging problems.
View more

Meet the team

About the company

View your fit

0 of 5 criteria met
3+ years in machine learning or related fields
Demonstrated experience in machine learning, deep learning, or NLP.

View

Proficiency in deep learning frameworks
Skilled in using PyTorch and TensorFlow for model development.

View

Strong programming skills in Python
Solid understanding of data structures and algorithms.

View

Experience with data analysis
Ability to identify patterns and insights from data.

View

Published research in AI conferences
Contributions to top AI journals or conferences are a plus.

View

A meaningful career starts with a match

  • Explore
    • Jobs
    • Companies
    • People
    • Hatch Hotlist 2025
  • Hiring
    • Permanent hires
    • Hatch Placements
  • Resources
    • Blog
    • Community stories
    • Career advice
    • Customer stories
    • Help centre
  • Hatch
    • About
    • Careers
    • Contact
    • Hatch updates
    • Media enquiries
  • © 2025 Hatch
  • Privacy
  • Terms

Similar jobs

View all
REA Group
REA Group
Machine Learning EngineerRichmond, VIC · Full-time
This job is about making a significant impact in a collaborative and supportive team focused on AI. Working with a leading property brand, you will have the opportunity to influence millions of users. The team thrives on innovation and high performance, creating a vibrant culture that values care and collaboration.
Amazon
Amazon
Machine Learning Scientist, International Machine LearningMelbourne, VIC · Full-time
This job offers an exciting opportunity to join Amazon's International Machine Learning team in Melbourne, where talented Machine Learning Scientists collaborate to innovate and enhance customer experiences globally. By working on high-impact projects, you will push the boundaries of applied science, directly benefiting millions of customers. The team thrives on creativity and collaboration, valuing contributions to both practical applications and the research community.
Amazon
Amazon
Machine Learning Engineer, Generative AI Innovation CenterMelbourne, VIC · Full-time
As a Software Development Engineer (SDE) at the Generative AI Innovation Center at AWS, you will embark on an exciting journey to develop custom Large Language Models (LLMs) that empower businesses with transformative AI solutions. Your work will have a significant impact on optimizing AI models for high-performance deployment, enabling customers to harness cutting-edge technology. Collaborating with a diverse team of experts, you will thrive in an inclusive culture that values innovation and continuous learning.