Machine Learning Engineer Graduate, Trust and Safety Engineering — The Rocks, Sydney

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This is a Machine Learning Engineer Graduate, Trust and Safety Engineering role with one of the leading companies in AU right now TikTok with an amazing team. They are continuing to grow rapidly. This is the chance to join right as the takes off. More About the Role at TikTok Responsibilities Team Introduction Building a world where people can safely discover, create and connect. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. We have invested heavily in human and machine-based moderation to remove harmful content quickly and often before it reaches our general community. We are looking for talented individuals to join us in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. As a Machine Learning Engineer, you'll have the chance to work with our clients and teams to address key business problems and identify areas of growth for the company. With your education and experience, you will be able to take on real-world challenges from day one. Responsibilities 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 globall Qualifications Minimum Qualifications 1. Currently pursuing your bachelors or completed within 1 year; Computer Science or related engineering field. 2. Solid knowledge in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision 3. Firm understanding of data structures and algorithms 4. Great communication and teamwork skills Preferred Qualifications 1. Passion about techniques and solving challenging problems 2. Previous experience in applications of machine learning, pattern recognition, NLP, data mining, or computer vision 3. Currently pursuing your PhD or Master degree in Computer Science or related engineering field. If you don’t think you're a perfect fit, you should still sign up to Hatch and create a profile, we'll match you to other roles that suit your profile. Hatch exists to level the playing field for people as they discover a career that’s right for them. We model this in our hiring process for our partners like TikTok. ✅ Applying here is the first step in the hiring process for this role at TikTok. We do not discriminate on the basis of gender identity, sexual orientation, cultural identity, disability, age, or any other non-merit factors. To put it simply, Hatch is for everyone.