Machine Learning Engineer — Trust & Safety Systems

Stfrancis; Sydney; Hybrid; AUD 65,000 - 90,000; Full time

Job summary

TikTok is building a world where people can safely discover, create and connect. The Trust & Safety team seeks a graduate Machine Learning Engineer to tackle real-world challenges from day one in Australia.

You will join a team working with cutting-edge ML, CV and data mining technologies, delivering scalable safety classifiers and models. Successful candidates will bring strong CS foundations and a passion for solving hard problems.

Qualifications

• Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or 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 world-class engineers to build industry-leading trust and safety systems for TikTok.
• Develop and build scalable classifiers, tools, models and algorithms leveraging ML, CV 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

Pattern recognition

NLP

Data mining

Computer vision

Data structures

Algorithms

Communication

Teamwork

Education

Bachelor’s or Master’s degree in Software Development

Bachelor’s or Master’s degree in Computer Science

Bachelor’s or Master’s degree in Computer Engineering

Job description

TikTok is building a world where people can safely discover, create and connect. The Trust & Safety team seeks a graduate Machine Learning Engineer to tackle real-world challenges from day one in Australia.

You will join a team working with cutting-edge ML, CV and data mining technologies, delivering scalable safety classifiers and models. Successful candidates will bring strong CS foundations and a passion for solving hard problems.