多任务学习算法工程师-XC
Bosch · Shanghai, Shanghai, China
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- Full time
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Job Description
- 负责行车/泊车场景下多任务学习算法的研发与优化，包括动态/静态感知等模型的联合训练；
- 设计高效的多任务训练框架，提高任务间的协同效率和模型性能；
- 研究多任务学习中的损失平衡、任务冲突解决等关键问题，提升模型的稳定性和泛化能力；
- 基于真实驾驶数据和仿真数据进行模型训练、调优及部署；
- 跟踪最新的多任务学习、深度学习和自动驾驶领域的研究进展，应用于实际业务场景；
- 支持相关团队解决训练中的技术问题，并推动算法在自动驾驶系统中的落地应用。
Qualifications
- 熟悉多任务学习的基本原理和相关技术（如共享参数、软/硬任务分配、权重动态调整等）
- 熟悉常见的感知算法（Transformer/bev/occ 等）
- 善于解决复杂问题，具有较强的分析能力和创新能力
- 3年以上计算机视觉算法开发经验，具有自动驾驶领域多任务训练量产经验者优先
- 学历要求：计算机科学、电子工程、自动化或相关领域硕士及以上学历，博士优先
Additional Information
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