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Open nowPosted 91 days ago

vlm基座模型/视觉生成实习生

zcnma1sv5kma/10121017 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowvlm基座模型/视觉生成实习生zcnma1sv5kma/101210 · Beijing, Chinese Mainland

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The clock on this job

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12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 91 days ago

The posting

任职要求 1. 硕士及以上学历，计算机、自动化等相关专业，3 年及以上计算机视觉算法研发经验。 2. 理解生成式感知技术范式，有统一多任务视觉建模、生成模型感知迁移相关项目经验。 3. 扎实的 CV 基础，精通检测、分割、深度估计、3D 几何中至少两类任务的原理与落地方法。 4. 熟悉 Transformer、扩散模型架构，掌握大模型指令微调、参数高效微调等方法，能熟练使用 PyTorch 开展模型训练调优。 加分项 - 有统一生成式视觉模型训练经验 - 有具身智能、工业质检、机器人感知落地经验 - 有时序视频感知、多视图三维重建相关研究背景 - 有顶会论文或知名开源项目贡献经历

岗位职责： 1. 负责生成式统一视觉感知大模型的研发与落地，以生成式范式重构检测、分割、深度估计、3D 几何等多类视觉任务，打造通用结构化感知底座，支撑具身智能、工业视觉等业务场景。 2. 研究生成预训练表征的感知迁移方法，挖掘图像 / 视频生成模型的空间几何、时序物理先验，以低标注成本落地多任务感知能力。 3. 优化多任务混合训练策略，提升跨任务知识协同效果，缓解任务干扰与灾难性遗忘。 4. 跟踪领域前沿技术，开展技术预研与原型验证，探索向视频感知、三维重建、世界模型的演进路径。 任职要求 1. 硕士及以上学历，计算机、自动化等相关专业， 2. 理解生成式感知技术范式，有统一多任务视觉建模、生成模型感知迁移相关项目经验。 3. CV 基础，检测、分割、深度估计、3D 几何中至少两类任务的原理与落地方法。 4. 熟悉 Transformer、扩散模型架构，掌握大模型指令微调、参数高效微调等方法，能熟练使用 PyTorch 开展模型训练调优。 加分项 - 有统一生成式视觉模型训练经验 - 有具身智能、工业质检、机器人感知落地经验 - 有时序视频感知、多视图三维重建相关研究背景 - 有顶会论文或知名开源项目贡献经历-

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