Machine Learning Engineer, e-commerce (TikTok) - 2025 Start

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About the TikTok Data Team
Our TikTok team is responsible for developing state-of-the-art machine learning models and strategies to improve user consumption experience, inspire creativity, build a fair and flourishing ecosystem.
We are looking for talented individuals to join us in 2025. 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.

Responsibilities

• Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning;
• Understand product objectives and machine learning techniques; improve model and recommendation strategy;
• Understand user behavior and apply ML algorithms to optimize content consumption and production experience;
• Understand content security strategy and apply ML algorithms to improve content audit process;
• Work with cross functional teams to grow company's product in important regional markets.

Qualifications

Minimum Qualifications:

• Final year or recent graduate with a background in computer science, computer engineering, information systems or a related technical discipline from a university
• Solid experience with data structures or algorithms
• Software development experience through hands on coding in a general purpose programming language
• Strong communication and teamwork skills
• Passion about technologies and solving challenging problems

Preferred Qualifications:

• Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
If you have any questions, please reach out to us at [email protected]