wuyang
73 lines
1.9 KiB
Markdown
73 lines
1.9 KiB
Markdown
# Job: 字节 Seed - 大模型 Agent 研究工程师
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---
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type: job
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company: 字节 Seed
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role: 大模型Agent研究工程师-Seed
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location: unknown
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source_url: https://jobs.bytedance.com/experienced/position/7628902314323806469/detail
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source_name: 字节跳动招聘
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source_quality: official
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collected_at: 2026-07-08
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posted_at:
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first_seen_at: 2026-07-08
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last_checked_at: 2026-07-08
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snapshot_type: new
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job_code: 7628902314323806469
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previous_snapshot:
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status: unknown
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level: experienced
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team: Seed
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business_area: agent research and engineering
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employment_type: full-time
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salary:
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skills:
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- agent
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- memory
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- context-engineering
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- planning
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- multi-agent
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- llm-application
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topics:
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- harness
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- memory
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- context-compression
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models:
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- Seed
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related_papers:
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- 2026-memory-agent-survey
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- 2026-evomembench
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related_experiments:
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-
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related_projects:
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-
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relevance: high
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---
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## Source Snapshot
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- 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。
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- collected_at: 2026-07-08
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- 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。
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## Raw JD Summary
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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。
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## Extracted Signals
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- hard requirements: agent harness, memory, context compression, planning/execution, multi-agent。
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- 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。
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- business direction: 复杂任务执行和通用 Agent 能力。
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## Knowledge Links
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- concepts: context engineering, agent harness, memory
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- papers: Memory survey, EvoMemBench
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- experiments: context compression comparison
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- projects:
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## Gaps for Us
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- 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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