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Participate in the design and development of our self-developed distributed Graph Neural Network (GNN) training/inference systems over a large-scale graph dataset. Apply Graph Embedding/GNN into real-world application scenarios, including but not limited to risk control, etc.
We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience.
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 ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis – we encourage you to apply early. Successful candidates must be able to commit to at least 3 months long internship period.