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Open nowPosted 361 days ago

端到端大模型算法实习生

momenta/intern84 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now端到端大模型算法实习生momenta/intern · Beijing, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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

  4. CV RocketApplied on momenta/intern's own form.

The reply lands in your private mailbox

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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.

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 361 days ago

The posting

1.负责端到端智驾大模型的算法预研、算法突破与验证工作; 2.基于端到端大模型，进行世界模型算法预研，提升端到端模型效果和泛化性。

1.计算机、人工智能、自动化、机器人等相关专业硕士及以上学历； 2.熟练掌握 Python/C++，精通 PyTorch 等主流深度学习框架，具备良好的数学基础（线性代数、概率论、最优化）； 3.熟悉端到端自动驾驶技术栈（如 UniAD、SparseDrive、VAD、DriveVLM 等），理解感知-预测-规划一体化建模方法； 4.深入理解 Transformer、Diffusion Model、自回归生成模型等主流架构，有 World Model（如 JEPA、UniSim、DriveDreamer、GAIA、WoVogen 等）研发或复现经验； 5.有 BEV/OCC 感知、时序建模、轨迹预测或运动规划模块落地经验者优先。

加分项 1.在 CVPR、ICCV、ECCV、NeurIPS、ICLR、ICML、CoRL、ICRA 等顶级会议或期刊发表过相关方向一作/共一论文； 2.有 ACM/ICPC、RoboMaster、RoboCup 等顶尖赛事获奖经历； 3.有端到端模型车端部署（TensorRT/ONNX/量化）或仿真闭环（nuPlan/CARLA/Waymax）实战经验。

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