Research Scientist Graduate (eCommerce Recommendation) - 2026 Start (PhD)
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About this role
Team Introduction:
Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best shopping experience for our TikTok users.
We are looking for talented individuals to join our team in 2026. 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 ByteDance
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities:
- Work in a team to conduct cutting-edge research in machine learning algorithms, such as retrieval and recommendation algorithms
- Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok
- Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently
- Apply machine learning algorithms to improve the different business scenarios, such as search ranking, natural language and video understanding, and trust and safety
Qualifications
Minimum Qualifications
- Final year or recent PhD graduates with a background in Computer Science, related technical field or equivalent industrial research experience.
- Experience in one of the following fields: recommendation systems, online advertising, information retrieval, natural language processing, computer vision, machine learning, large-scale data mining, or related fields preferred
- Familiar with at least one of the mainstream deep learning frameworks, such as TensorFlow or PyTorch
- Passionate about solving complex and challenging problems
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment