Trust & Safety ML Engineer — Build Scalable Moderation AI

MMSU Global Association, Inc.; Sydney; Hybrid; AUD 90,000 - 130,000; Full time

Job summary

TikTok is seeking talented graduates to join its Trust & Safety team as a Machine Learning Engineer. You will tackle real‑world challenges from day one and work with world‑class engineers to build scalable classifiers and safety tools.

The role emphasizes growth, learning, and applying ML, NLP, and computer vision to protect users globally. Applicants should highlight availability to onboard by end of 2027 and show strong communication within cross‑functional teams.

Qualifications

• Bachelor's or Master's degree in Software Development, Computer Science, Computer Engineering, or related technical discipline.
• Solid knowledge in machine learning, pattern recognition, NLP, data mining, or computer vision.
• Firm understanding of data structures and algorithms.
• Great communication and teamwork skills.

Responsibilities

• Work with world‑class engineers to build trust and safety systems.
• Develop scalable classifiers, tools, models and algorithms using ML, CV and data mining tech.
• Improve trust and safety strategy and perform model iterations.
• Collaborate with cross-functional teams to protect the platform globally.

Skills

Machine learning

Data mining

NLP

Computer vision

Algorithms

Education

Bachelor's or Master's in CS/Software/Engineering

Tools

Python

TensorFlow

PyTorch

Job description

TikTok is seeking talented graduates to join its Trust & Safety team as a Machine Learning Engineer. You will tackle real‑world challenges from day one and work with world‑class engineers to build scalable classifiers and safety tools.

The role emphasizes growth, learning, and applying ML, NLP, and computer vision to protect users globally. Applicants should highlight availability to onboard by end of 2027 and show strong communication within cross‑functional teams.