Research Scientist Graduate (AI Agent Memory Infrastructure) - 2026 Start (PhD)

ByteDance
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["System design","Production engineering","Trade-off analysis","Collaboration","Roadmap contribution"]

Build and evolve AI agent memory infrastructure that powers long-term, conversational, and task-oriented memory. Design low-latency, high-availability pipelines across storage, indexing, retrieval, updating, compression, and forgetting for real-time inference. Work on memory representation, retrieval/ranking, summarization and fusion, and multimodal workflows (text, image, audio, behavioral signals). Partner with model and product teams to productionize memory capabilities and optimize quality, latency, cost, reliability, and safety.

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FursaFursa
ByteDance
ByteDance
1 month ago

Research Scientist Graduate (AI Agent Memory Infrastructure) - 2026 Start (PhD)

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Last checked: 30 days agoStatus: Live
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Job Summary

Build and evolve AI agent memory infrastructure that powers long-term, conversational, and task-oriented memory. Design low-latency, high-availability pipelines across storage, indexing, retrieval, updating, compression, and forgetting for real-time inference. Work on memory representation, retrieval/ranking, summarization and fusion, and multimodal workflows (text, image, audio, behavioral signals). Partner with model and product teams to productionize memory capabilities and optimize quality, latency, cost, reliability, and safety.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Design, build, and evolve next-generation memory infrastructure for AI agents with long-term, conversational, and task-oriented memory.
  • •Architect and optimize memory pipelines for large-scale, low-latency, high-availability environments spanning ingestion, storage, indexing, retrieval, updating, compression, and forgetting.
  • •Research challenges across LLMs, context engineering, and data management, including memory representation, retrieval/ranking, conflict resolution, summarization/fusion, and lifecycle management.
  • •Design unified memory models and processing workflows for multimodal data (text, image, audio, behavioral signals) to improve consistency, personalization, and task completion.
  • •Collaborate with model, application, and platform teams to productionize memory capabilities and continuously optimize performance across quality, latency, cost, reliability, and safety.

Key Requirements

  • •Completing or recently completed a PhD in Computer Science, Artificial Intelligence, Data Science, or related fields.
  • •Strong experience in distributed systems, databases, information retrieval systems, or AI infrastructure with proven system design and production engineering.
  • •Proficient in at least one programming language such as Go, Python, or C++ with strong coding standards.
  • •Solid understanding of core LLM application technologies including embeddings, retrieval-augmented generation (RAG), context engineering, retrieval systems, and long-term state management.
  • •Familiarity with memory systems topics such as memory extraction/representation, vector/graph indexing, retrieval and ranking, memory updating, compression/forgetting, and multimodal memory fusion.
Experience:LLMAI infrastructureDistributed systemsInformation retrievalMultimodal
Education:PhD / Doctorate in Computer Science, Artificial Intelligence, Data Science, or related fields
Skills:System designProduction engineeringTrade-off analysisCollaborationRoadmap contribution
Tech Stack:GoPythonC++EmbeddingsRetrieval-augmented generation (RAG)Vector/graph indexingMultimodal fusion

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn