Machine Learning Intern – Trust & Safety Tech

Cagayan State University; Sydney; Hybrid; AUD 22,000 - 33,000; Full time

Job summary

TikTok is offering internships in its Trust & Safety team in Sydney, Australia. interns will gain industry exposure and hands-on experience in building content safety systems and developing scalable ML/CV/NLP models.

You will work with cross-functional teams to protect the TikTok platform globally. The role involves exposure to images, video, and text content, with a focus on safety, moderation and continuous improvement of models and processes.

Qualifications

• Undergrad or postgrad pursuing a degree in computer science or a related technical discipline.
• Solid experience in at least one: 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 strategy and model performance.
• Collaborate with cross-functional teams to protect TikTok globally.

Skills

Machine Learning

Computer Vision

NLP

Data Mining

Education

Pursuing CS degree (Undergrad/Postgrad)

Job description

TikTok is offering internships in its Trust & Safety team in Sydney, Australia. interns will gain industry exposure and hands-on experience in building content safety systems and developing scalable ML/CV/NLP models.

You will work with cross-functional teams to protect the TikTok platform globally. The role involves exposure to images, video, and text content, with a focus on safety, moderation and continuous improvement of models and processes.