ML Engineer — Trust & Safety Systems

Uc Bcf; Sydney; Hybrid; AUD 70,000 - 110,000; Full time

Job summary

TikTok is seeking a Graduate Machine Learning Engineer to join our Trust & Safety team in Sydney. You will work with senior engineers to develop industry-leading classifiers and ML systems that help keep our global community safe and vibrant.

The role offers hands-on experience across ML, NLP, and computer vision, with opportunities to contribute from day one and to participate in ongoing model iterations and cross-functional collaborations.

Qualifications

• Bachelor’s/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 for TikTok.
• Develop scalable classifiers, tools, models, and algorithms using ML, CV, and data mining.
• Improve trust and safety strategy and iterate models.
• Collaborate with cross-functional teams to protect TikTok globally.

Skills

Machine learning fundamentals

NLP / Computer vision basics

Data structures & algorithms

Communication & teamwork

Education

Bachelor's/Master's in CS/EE/Software

Job description

TikTok is seeking a Graduate Machine Learning Engineer to join our Trust & Safety team in Sydney. You will work with senior engineers to develop industry-leading classifiers and ML systems that help keep our global community safe and vibrant.

The role offers hands-on experience across ML, NLP, and computer vision, with opportunities to contribute from day one and to participate in ongoing model iterations and cross-functional collaborations.