Global ML Engineer, Trust & Safety Tech

Polnes; Sydney; Hybrid; AUD 70,000 - 110,000; Full time

Job summary

TikTok is seeking a graduate Machine Learning Engineer in Sydney to join our Trust & Safety team. The role focuses on building scalable ML systems, classifiers, and algorithms to keep our global platform safe and vibrant.

As a recent graduate, you will collaborate with world-class engineers, gain hands-on experience with cutting-edge ML and CV techniques, and contribute to real-world solutions from day one. This role offers growth across a global product ecosystem.

Qualifications

• Bachelor’s/Master’s degree in Software Development, Computer Science, Computer Engineering, or a 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 technologies
• Improve trust and safety strategy and iterate on models
• Collaborate with cross-functional teams to protect TikTok globally

Skills

Machine Learning

NLP

Data Mining

Pattern Recognition

Algorithms

Communication

Education

Bachelor's degree in Computer Science or Software Engineering

Master's degree in Computer Science or related field

Job description

TikTok is seeking a graduate Machine Learning Engineer in Sydney to join our Trust & Safety team. The role focuses on building scalable ML systems, classifiers, and algorithms to keep our global platform safe and vibrant.

As a recent graduate, you will collaborate with world-class engineers, gain hands-on experience with cutting-edge ML and CV techniques, and contribute to real-world solutions from day one. This role offers growth across a global product ecosystem.