ML Engineer Intern - Data Trust & Safety

FEU; Sydney; Hybrid; AUD 34,000 - 48,000; Full time

Job summary

TikTok’s Trust & Safety team in Australia invites motivated students to join an internship that exposes you to cutting-edge content safety systems. You’ll work on scalable classifiers and ML models, gaining hands-on experience with ML, CV and data mining in a global tech environment.

As part of a cross-functional team, you’ll help translate product goals into safety improvements while learning from experienced engineers who handle sensitive content daily.

Qualifications

• Undergraduate or postgraduate student pursuing a degree in computer science or a related technical discipline.
• Solid experience in at least one area: machine learning, pattern recognition, NLP, data mining or computer vision.
• Experience in recommendation, search, advertising, or other related projects.

Responsibilities

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

Skills

Machine Learning

NLP

Computer Vision

Data Mining

Pattern Recognition

Education

Pursuing CS-related degree

Job description

TikTok’s Trust & Safety team in Australia invites motivated students to join an internship that exposes you to cutting-edge content safety systems. You’ll work on scalable classifiers and ML models, gaining hands-on experience with ML, CV and data mining in a global tech environment.

As part of a cross-functional team, you’ll help translate product goals into safety improvements while learning from experienced engineers who handle sensitive content daily.