Machine Learning Engineer, Search E-Commerce - 2025 Start

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, cutting-edge NLP, CV, and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience for more than 1 billion monthly TikTok users around the world. Our mission is to build a world where there is no hard-to-sell good-priced product.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities 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 - What You'Il Do

1. Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
2. Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking, and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video, and live stream to promote GMV growth.
3. Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth. Think, analyze, and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.
4. Work in a team setting and apply knowledge in statistics, scripting, and programming languages required by the firm.
5. Work with the relevant software platforms in which the models are deployed.

Qualifications

Minimum Qualifications

1. Industry work experience in machine learning. Good product sense with a focus on user experience.
2. Bachelor or advanced degree in computer science or a related technical discipline.
3. Excellent coding skills. Solid knowledge of data structure and algorithms.
4. Excellent in analysis, modeling, and problem-solving, and can see the essence of problems from complex data.

Preferred Qualifications

1. Self-driven, able to deeply understand the business, adapt to rapid business changes, have good personal expression and communication skills, and be able to promote project implementation.
2. Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.

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 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://jobs.bytedance.com/en/legal/privacy.

If you have any questions, please reach out to us at apac-earlycareers@bytedance.com.