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Open nowPosted 90 days ago

L4智驾大模型团队-端到端大模型算法工程师(Mstar)

momenta/intern84 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowL4智驾大模型团队-端到端大模型算法工程师(Mstar)momenta/intern · Beijing, Chinese Mainland

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  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 90 days ago

The posting

1.端到端模型研发： 负责新一代 End-to-End 自动驾驶算法的研发，包括但不限于基于 World Model（世界模型）、Video Generation（视频生成） 或 VLM（视觉语言模型） 的驾驶策略生成。 2.模型架构探索： 探索 Transformer、State-space Model (如 Mamba)、Diffusion Model 、IL/RL在轨迹预测与决策规划中的应用，验证 Scaling Law 在自动驾驶规控领域的有效性。 3.数据闭环与评测： 搭建针对生成式规划算法的自动化评测体系，利用大模型进行数据挖掘、自动标注（Auto-labeling）及场景重建，通过数据闭环持续提升模型性能。 岗位要求

1.学历背景： 计算机、自动化、人工智能等相关专业，211/985 硕士及以上学历 2.大模型技术栈： 深入理解 Transformer 架构，有 LLM（大语言模型） 或 多模态模型（VLM） 的训练/微调经验。 熟悉生成式模型（Diffusion, VAE, GAN）原理，有视频生成或序列预测模型相关经验者优先。 熟悉强化学习算法。 3.编程与工程： 精通 Python，具备极强的代码实现能力。 熟悉 C++，了解模型在端侧（On-board）的部署与推理优化（TensorRT/CUDA）。 4.自动驾驶经验： 理解自动驾驶 Planning/Prediction 的核心业务逻辑，具备数据驱动算法（Imitation Learning, Offline RL）的研发落地经历。

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