ML Engineer Intern, Trust & Safety — Content Moderation

Polnes; Sydney; Hybrid; AUD 17,000 - 26,000; Full time

Job summary

TikTok is seeking interns to help build content safety systems and scalable ML solutions that protect the global community. You will work on classifiers, data mining, and cross-functional projects with teams across the company.

Ideal candidates are pursuing CS or related fields with experience in ML, NLP, or computer vision, and a passion for safe, responsible AI. This internship offers hands-on experience in a fast-paced tech environment.

Qualifications

• Undergraduate or postgraduate pursuing a degree in computer science or a related technical discipline.
• Solid experience in at least one of: 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 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

Pattern Recognition

NLP

Data Mining

Computer Vision

Recommendation Systems

Education

CS/related field student

Job description

TikTok is seeking interns to help build content safety systems and scalable ML solutions that protect the global community. You will work on classifiers, data mining, and cross-functional projects with teams across the company.

Ideal candidates are pursuing CS or related fields with experience in ML, NLP, or computer vision, and a passion for safe, responsible AI. This internship offers hands-on experience in a fast-paced tech environment.