ML Engineer Intern, Trust & Safety - Content Safety

GOTAFE; Sydney; Hybrid; AUD 17,000 - 28,000; Part time

Job summary

TikTok’s Trust & Safety internship offers hands-on experience building and refining content safety systems for a global platform. You’ll contribute to scalable classifiers and models using ML, CV and data mining, while understanding product goals and improving safety performance.

Join a team that collaborates across functions to protect users worldwide, with opportunities to apply research to real-world moderation challenges and gain industry exposure in a fast-growing tech company.

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 cutting-edge ML, computer vision 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

Data mining

Computer vision

Education

Undergraduate or postgraduate pursuing CS/related field

Tools

Python

TensorFlow

Job description

TikTok’s Trust & Safety internship offers hands-on experience building and refining content safety systems for a global platform. You’ll contribute to scalable classifiers and models using ML, CV and data mining, while understanding product goals and improving safety performance.

Join a team that collaborates across functions to protect users worldwide, with opportunities to apply research to real-world moderation challenges and gain industry exposure in a fast-growing tech company.