Job: 字节 Seed - 大模型 Agent 研究工程师

type: job company: 字节 Seed role: 大模型Agent研究工程师-Seed location: unknown source_url: https://jobs.bytedance.com/experienced/position/7628902314323806469/detail source_name: 字节跳动招聘 source_quality: official collected_at: 2026-07-08 posted_at: first_seen_at: 2026-07-08 last_checked_at: 2026-07-08 snapshot_type: new job_code: 7628902314323806469 previous_snapshot: status: unknown level: experienced team: Seed business_area: agent research and engineering employment_type: full-time salary: skills:

agent
memory
context-engineering
planning
multi-agent
llm-application topics:
harness
memory
context-compression models:
Seed related_papers:
2026-memory-agent-survey
2026-evomembench related_experiments:

related_projects:

relevance: high

Source Snapshot

source: 字节跳动官方招聘页；网页正文由前端渲染，当前采集依赖搜索摘要。
collected_at: 2026-07-08
availability: URL 可定位到官方岗位页，但需要后续用浏览器或 API 抽取完整 JD。

Raw JD Summary

搜索摘要显示该岗位负责大模型 Agent 系统研究与工程落地，围绕复杂任务执行持续优化 Agent 效果，关键词包括 harness、memory、context compression、planning/execution、multi-agent。

Extracted Signals

hard requirements: agent harness, memory, context compression, planning/execution, multi-agent。
hidden signals: Seed 把 Agent 作为研究与工程落地结合的问题，而不是纯应用开发。
business direction: 复杂任务执行和通用 Agent 能力。

Knowledge Links

concepts: context engineering, agent harness, memory
papers: Memory survey, EvoMemBench
experiments: context compression comparison
projects:

Gaps for Us

需要后续用可重复脚本抓取字节招聘 JS 数据或手动浏览器快照。

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