Trust & Safety ML Engineer — Build Safe, Scale

FEU; Sydney; Hybrid; AUD 70,000 - 90,000; Full time

Job summary

TikTok is recruiting a Graduate Machine Learning Engineer to join the Trust & Safety team in Australia. You will work with experienced engineers to build scalable ML models, classifiers and data-driven tools to keep the platform safe and vibrant for users worldwide.

The role emphasizes collaboration, learning and applying ML, NLP and computer vision techniques from day one, with practical, real‑world projects and cross‑functional impact.

Qualifications

• Bachelor’s or Master’s degree in a technical field (CS/Software Eng).
• Solid knowledge in ML, pattern recognition, NLP, data mining or computer vision.
• Strong data structures and algorithms understanding.
• Excellent communication and teamwork skills.

Responsibilities

• Collaborate with world‑class engineers to build trust and safety systems for TikTok.
• Develop scalable classifiers, tools and models using ML, CV and data mining techniques.
• Iterate on models and improve trust and safety strategy.
• Work with cross‑functional teams to protect TikTok globally.

Skills

Strong communication

Teamwork

Problem solving

Analytical thinking

Education

Bachelor’s or Master’s degree in Computer Science/Software Engineering

Tools

Python

TensorFlow/PyTorch

Job description

TikTok is recruiting a Graduate Machine Learning Engineer to join the Trust & Safety team in Australia. You will work with experienced engineers to build scalable ML models, classifiers and data-driven tools to keep the platform safe and vibrant for users worldwide.

The role emphasizes collaboration, learning and applying ML, NLP and computer vision techniques from day one, with practical, real‑world projects and cross‑functional impact.