PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start
Location: Sydney
Employment Type: Regular
Responsibilities
- Collaborate on research projects within the team or across countries
- 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 globally
- Present research outcomes to internal and/or external audiences
- Work with engineering teams to apply technical achievements from our research to product prototyping
- Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms
- Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams
Minimum Qualifications
- Currently pursuing your PhD or Master degree in Computer Science or related engineering field.
- Solid knowledge in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision.
- Firm understanding of data structures and algorithms.
- Great communication and teamwork skills.
Preferred Qualifications
- Passion about techniques and solving challenging problems.
- Previous experience in applications of machine learning, pattern recognition, NLP, data mining, or computer vision.
PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start Sydn[...] employer: TikTok
At TikTok, we pride ourselves on being an exceptional employer, fostering a vibrant work culture that champions creativity and collaboration. Our global team thrives in an inclusive environment where diverse perspectives are celebrated, offering ample opportunities for professional growth and innovation. Located in dynamic hubs like Singapore, we empower our employees to tackle exciting challenges while making a meaningful impact in the tech industry.
