Trust & Safety ML Engineer — Build Scalable Moderation Models

Robogals; Australia; On-site; AUD 90,000 - 120,000; Full time

Job summary

TikTok's Trust & Safety team in Australia invites a graduate Machine Learning Engineer to join our global safety initiative. You will collaborate with world-class engineers to develop scalable classifiers and ML-powered tools that help protect our community from harmful content from day one.

Ideal candidates have recently completed a Bachelor’s or Master’s in Computer Science, Software Development or Computer Engineering and possess strong knowledge in ML, NLP, data mining or computer vision,

Qualifications

• Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Solid knowledge in machine learning, pattern recognition, NLP, data mining, or computer vision.
• Firm understanding of data structures and algorithms.
• Great communication and teamwork skills.

Responsibilities

• Work with our world-class engineers to build industry-leading trust and safety systems for TikTok.
• Develop and build up highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies.
• Improve our trust and safety strategy and work on model iterations.
• Collaborate with cross-functional teams to protect TikTok globally.

Skills

Machine Learning

NLP

Data Mining

Computer Vision

Data Structures & Algorithms

Communication & Teamwork

Education

Bachelor’s or Master’s degree in Software Development / Computer Science / Computer Engineering

Job description

TikTok's Trust & Safety team in Australia invites a graduate Machine Learning Engineer to join our global safety initiative. You will collaborate with world-class engineers to develop scalable classifiers and ML-powered tools that help protect our community from harmful content from day one.

Ideal candidates have recently completed a Bachelor’s or Master’s in Computer Science, Software Development or Computer Engineering and possess strong knowledge in ML, NLP, data mining or computer vision,