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Open nowPosted 111 days ago

AI算法研究员--时序扩散模型方向

c0fu1j3a9m0/referral33 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen nowAI算法研究员--时序扩散模型方向c0fu1j3a9m0/referral · Shanghai, Chinese Mainland

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. c0fu1j3a9m0/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 111 days ago

c0fu1j3a9m0/referral median: 1 days open

The posting

1. 主导时序扩散模型算法研发，提升生物大分子（蛋白质、RNA等）动态/视频轨迹生成的精度与推理效率。 2. 跟踪AIGC与扩散模型顶会前沿（CVPR/NeurIPS/ICLR等），快速复现并转化为团队核心技术。 3. 与生物团队协作，推动算法在结构、构象、动态预测等场景的落地。

1. 计算机、数学或相关领域博士学位，机器学习理论基础扎实。 2. 深入理解扩散模型核心原理（DDPM、DDIM、LDM、Flow Matching）和视频生成（forcing、DMD等）。 3. 具备独立研究能力与PyTorch工程经验，能主导算法从研究到部署的全流程。

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