Job Title

Machine Learning Engineer Graduate, Trust and Safety Engineering (Rolling Intake)Application open date: Apply by 31 Dec 2025ResponsibilitiesAbout TikTokTikTok 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 UsCreation 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 IntroductionWe 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 basisapply 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.ResponsibilitiesCollaborate with our engineers to build industry-leading trust and safety systems for TikTokDevelop scalable classifiers, tools, models, and algorithms using cutting-edge machine learning, computer vision, and data mining technologiesEnhance our trust and safety strategies through model iterationsWork with cross-functional teams to protect TikTok globallyQualificationsMinimum Qualifications:Currently pursuing or recently completed a Bachelor''s degree in Computer Science or a related engineering fieldStrong knowledge in machine learning, pattern recognition, NLP, data mining, or computer visionSolid understanding of data structures and algorithmsExcellent communication and teamwork skillsPreferred Qualifications:Passion for solving challenging problems with techniques in machine learning, pattern recognition, NLP, data mining, or computer visionPrevious experience in applying these techniquesCurrently pursuing a Master''s or PhD in Computer Science or related engineering fieldTikTok 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 RightsThis opportunity is open to applicants with the following work rights:Australian CitizensAustralian Permanent ResidentsQualifications & Other RequirementsApplicants should have or be completing the following:Degree or CertificateMasters (Coursework) or higherStudy FieldAny field, preferably Engineering or Mathematics #J-18808-Ljbffr