ML Engineer Intern: Trust & Safety Data Systems

Unitec; Sydney; On-site; AUD 52,000 - 70,000; Full time

Job summary

TikTok is offering an internship in the Trust & Safety team in Australia. You will contribute to building safety systems and ML-powered classifiers that scale to a global audience, with exposure to data mining techniques and cutting-edge AI research.

Ideal candidates are pursuing CS degrees with strong foundations in machine learning, NLP, CV and data mining, and have demonstrated interest in recommender systems, search, or advertising-related projects.

Qualifications

• Pursuing a degree in computer science or related field.
• Solid experience in ML, pattern recognition, NLP, data mining or CV.
• Experience in recommendation, search, advertising, or related projects.

Responsibilities

• Build industry-leading content safety systems for TikTok.
• Develop scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, 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

Pattern recognition

NLP

Data mining

Computer vision

Education

Undergraduate or Postgraduate pursuing a degree in computer science or related technical discipline

Job description

TikTok is offering an internship in the Trust & Safety team in Australia. You will contribute to building safety systems and ML-powered classifiers that scale to a global audience, with exposure to data mining techniques and cutting-edge AI research.

Ideal candidates are pursuing CS degrees with strong foundations in machine learning, NLP, CV and data mining, and have demonstrated interest in recommender systems, search, or advertising-related projects.