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Open nowPosted 274 days ago

一段式端到端算法工程师

qcraft/index22 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now一段式端到端算法工程师qcraft/index · Beijing, Chinese Mainland

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  2. CV RocketCV written for this posting.

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

  4. CV RocketApplied on qcraft/index's own form.

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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 274 days ago

The posting

  • 设计和开发用于自动驾驶的统一模型（One Model），负责多任务训练和调优。
  • 设计多任务模型训练框架，维护多任务共享主干网络，支持多任务模型迭代和发版，提升多任务迭代效率。
  • 数据驱动优化：利用大规模自动驾驶数据进行模型训练和优化。设计和实现数据增强、数据清洗和数据标注策略，提升数据质量。
  • 跨团队协作：与感知、预测、规划和控制等模块的工程师紧密合作，确保模型的整体性能和协同工作。
  • 模型评估与验证：设计和实施模型评估框架，确保模型在各种场景下的鲁棒性和安全性。
  • 研究和实现先进的深度学习和强化学习算法，提升模型的性能和泛化能力。
  • 与硬件团队合作，优化模型在嵌入式平台上的部署和运行效率。
  • 与测试团队合作，进行模型在实际道路环境中的验证和测试
  • 计算机科学、电子工程、自动化、数学或相关领域的硕士或博士学位。
  • 3年以上深度学习、计算机视觉或自动驾驶相关领域的工作经验。
  • 有自动驾驶系统开发经验者优先。
  • 具备端到端自动驾驶模型开发经验者优先。
  • 有大规模数据处理和分布式训练经验者优先。
  • 熟悉计算机视觉、传感器融合、路径规划和控制算法。
  • 精通深度学习框架（如TensorFlow、PyTorch等），熟悉C++、Python等编程语言。
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