Machine Learning Engineer Graduate, Trust and Safety Engineering (Rolling Intake) Application open date: Apply by 31 Dec 2025 Responsibilities About TikTok TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, with offices in New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us Creation is at the core of TikTok's purpose. Our products are designed to help imaginations thrive. We foster an environment where every challenge is an opportunity to learn, innovate, and grow. Join us to create and grow together, making an impact for ourselves, our company, and our users. Team Introduction We are building a world where people can safely discover, create, and connect. The Trust & Safety (T&S) team at TikTok ensures our global online community remains safe and empowered. We invest heavily in human and machine moderation to remove harmful content swiftly. We are looking for talented individuals to join us in 2026. As a graduate, you'll have opportunities to kickstart your career, pursue bold ideas, and explore growth opportunities. Co-create a future driven by your inspiration with TikTok. Applicants can apply to up to two positions, considered in the order of application. Applications are reviewed on a rolling basis—apply early to increase your chances. As a Machine Learning Engineer, you'll work with our teams to address key business problems and identify growth areas, taking on real-world challenges from day one. Responsibilities Collaborate with our engineers to build industry-leading trust and safety systems for TikTok Develop scalable classifiers, tools, models, and algorithms using cutting-edge machine learning, computer vision, and data mining technologies Enhance our trust and safety strategies through model iterations Work with cross-functional teams to protect TikTok globally Qualifications Minimum Qualifications: Currently pursuing or recently completed a Bachelor's degree in Computer Science or a related engineering field Strong knowledge in machine learning, pattern recognition, NLP, data mining, or computer vision Solid understanding of data structures and algorithms Excellent communication and teamwork skills Preferred Qualifications: Passion for solving challenging problems with techniques in machine learning, pattern recognition, NLP, data mining, or computer vision Previous experience in applying these techniques Currently pursuing a Master's or PhD in Computer Science or related engineering field TikTok values diversity and is committed to creating an inclusive environment. We celebrate diverse voices and aim to reflect the communities we serve. We acknowledge the Traditional Custodians of the land in Australia and pay respect to their Elders. By applying, you agree to our global applicant privacy policy, accessible here . Work Rights This opportunity is open to applicants with the following work rights: Australian Citizens Australian Permanent Residents Qualifications & Other Requirements Applicants should have or be completing the following: Degree or Certificate Masters (Coursework) or higher Study Field Any field, preferably Engineering or Mathematics J-18808-Ljbffr
