ML Engineer Intern: Content Safety & Moderation

Centro Escolar University; Sydney; Hybrid; AUD 18,000 - 30,000; Full time

Job summary

TikTok is seeking an intern to join the Trust & Safety team, contributing to industry-leading content safety systems and scalable ML-based classifiers. You will work with cross-functional teams to improve safety performance and support global protection of the platform across images, video and text.

Interns gain hands-on experience and exposure to cutting-edge AI research in a fast-paced tech environment, with mentoring and opportunities to contribute to real-world projects.

Qualifications

• Undergraduate or postgraduate pursuing a degree in computer science or a related field.
• Solid experience in machine learning, pattern recognition, NLP, data mining or computer vision.
• Experience in recommendation, search, advertising or related 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 performance.
• Collaborate with cross-functional teams to protect TikTok globally.

Skills

Machine learning

Pattern recognition

NLP

Data mining

Computer vision

Recommendation systems

Search

Advertising

Job description

TikTok is seeking an intern to join the Trust & Safety team, contributing to industry-leading content safety systems and scalable ML-based classifiers. You will work with cross-functional teams to improve safety performance and support global protection of the platform across images, video and text.

Interns gain hands-on experience and exposure to cutting-edge AI research in a fast-paced tech environment, with mentoring and opportunities to contribute to real-world projects.