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Open nowPosted 74 days ago

校招-大模型算法工程师(业务闭环方向) - 纵向

nio/campus869 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now校招-大模型算法工程师(业务闭环方向) - 纵向nio/campus · Shanghai, 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 nio/campus's own form.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. nio/campus postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 74 days ago

nio/campus median: 1 days open

The posting

负责端到端规划模型纵向驾驶能力的优化，覆盖起步，提速、保持车距、碰撞避免、防御性限速等关键场景，提升行驶安全与体验。 结合业务经验高效筛选目标场景数据，对模型进行监督微调，实现性能的精细迭代。 设计纵向决策的强化学习奖励函数，搭建RL训练与数据闭环，驱动模型持续进化。 跟进端到端智能辅助驾驶前沿技术，参与算法在量产平台上的部署与落地。

职位要求硕士及以上学历，计算机、人工智能、自动化、机器人等相关专业。 扎实的深度学习基础，精通监督学习与强化学习算法，熟练使用PyTorch等主流框架。 理解智能辅助驾驶规划任务，熟悉端到端模型（如模仿学习、强化学习）的常用方法，有相关项目经验。 具备优秀的工程落地能力，能独立完成数据处理、模型训练与深度分析。 面对开放问题有很强的自学与拆解能力，善于团队协作，沟通主动。 加分项具有端到端智能辅助驾驶（如UniAD、VAD等）或规划决策模块的实际研发经验。 在机器人/智能辅助驾驶领域有丰富的强化学习落地经验，曾设计并调优复杂奖励函数。 在CVPR、ICRA、NeurIPS等顶级会议发表过规划或决策相关论文。

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