ML Engineer Intern — Trust & Safety Data Systems

St Mark's College; Sydney; Hybrid; AUD 34,000 - 48,000; Full time

Job summary

TikTok's Trust & Safety team in Australia offers an internship to students pursuing CS or related fields in Sydney. You will help build scalable safety systems, develop classifiers using ML, NLP, and data mining, and collaborate with cross-functional teams to align safety outcomes with product goals.

You will gain hands-on industry exposure, learn how moderation models power a global platform, and contribute to protecting users while navigating the role's sensitivities and wellbeing

Qualifications

• Pursuing a degree in computer science or a related technical discipline.
• Experience in ML, pattern recognition, NLP, data mining or CV.
• Experience in recommendation, search or advertising projects.

Responsibilities

• Build industry-leading content safety systems for TikTok.
• Develop scalable classifiers, tools, models and algorithms using ML, CV and data mining.
• Understand product objectives and improve trust and safety strategy and model performance.
• Work with cross-functional teams to protect TikTok globally.

Skills

Machine learning

NLP

Data mining

Computer vision

Algorithms

Education

CS degree in progress

Job description

TikTok's Trust & Safety team in Australia offers an internship to students pursuing CS or related fields in Sydney. You will help build scalable safety systems, develop classifiers using ML, NLP, and data mining, and collaborate with cross-functional teams to align safety outcomes with product goals.

You will gain hands-on industry exposure, learn how moderation models power a global platform, and contribute to protecting users while navigating the role's sensitivities and wellbeing