Machine Learning Engineer Graduate, Trust and Safety Engineering
4 weeks ago
- Application open date: Apply by 31 Dec 2025
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 UsCreation is at the core of TikTok's purpose. Our products are designed to help imaginations thrive. We foster an environment of innovation, growth, and impact. Join us to create and grow together.
Team IntroductionThe Trust & Safety (T&S) team at TikTok ensures our global online community is safe and empowered to create and enjoy content. We invest heavily in human and machine moderation to remove harmful content quickly.
As a graduate, you will have unparalleled opportunities to kickstart your career, pursue bold ideas, and explore growth opportunities. Co-create a future driven by your inspiration with TikTok.
Candidates can apply for up to two positions, considered on a rolling basis. Early application is encouraged.
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 engineers to build trust and safety systems for TikTok
- Develop scalable classifiers, tools, models, and algorithms using machine learning, computer vision, and data mining
- Improve trust and safety strategies through model iteration
- Work with cross-functional teams to protect TikTok globally
Minimum Qualifications:
- Currently pursuing or recently completed a bachelor's degree in Computer Science or a related engineering field (within 1 year)
- Solid knowledge in machine learning, pattern recognition, NLP, data mining, or computer vision
- Understanding of data structures and algorithms
- Strong communication and teamwork skills
- Passion for solving challenging problems with techniques in machine learning, pattern recognition, NLP, data mining, or computer vision
- Previous experience in relevant applications
- Currently pursuing a master's or PhD in Computer Science or related field
TikTok values diversity and inclusivity. We are committed to creating an environment that reflects the communities we serve and where all employees are valued for their unique perspectives.
By applying, you agree to our global privacy policy.
Work rightsThis opportunity is open to applicants with Australian work rights, including Australian Citizens and Permanent Residents.
Qualifications & other requirementsRequirements include a Master's degree or higher, with study fields in Engineering or Mathematics, and relevant work rights.
Hiring criteria- No prior experience required
- Australian work rights
- Degree in Engineering or Mathematics at the Master's level or higher
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