About The Position

We are looking for talented individuals to join us 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-created a future driven by your inspiration with ByteDance. 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' job globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

  • Architect and implement AI-native databases that seamlessly integrate structured, unstructured, and vectorized data.
  • Design storage engines optimized for embedding ingestion, multimodal retrieval, and real-time AI interaction.
  • Build scalable and distributed vector search systems with low-latency guarantees.
  • Develop AI-augmented query processors that leverage large language models (LLMs) for semantic parsing, intent understanding, and cost estimation.
  • Collaborate on developing retrieval-augmented generation (RAG) infrastructure and LLM agent memory backends.
  • Drive innovations in learned index structures, self-optimizing databases, and AI-integrated transaction systems.
  • Publish and contribute to broader research and open-source communities.

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What This Job Offers

Career Level

Entry Level

Industry

Publishing Industries

Education Level

Bachelor's degree

Number of Employees

5,001-10,000 employees

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