多任务学习算法工程师-XC
Bosch Group
多任务学习算法工程师-XC
Job Description
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 Info
Company Description
Locations
- Shanghai, Shanghai, China
Salary
Estimated Salary Rangemedium confidence
60,000 - 100,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Multi-task learningintermediate
- Depth learningintermediate
- Model training and optimizationintermediate
- Transformer/BEV/OCC algorithmsintermediate
- Problem-solving and analysisintermediate
Required Qualifications
- Master’s or above in computer science, electronic engineering, automation or related fields (PhD preferred) (experience)
- 3+ years computer vision algorithm development experience, autonomous driving multi-task training production experience preferred (experience)
Responsibilities
- Develop and optimize multi-task learning algorithms for driving/parking scenarios
- Design efficient multi-task training framework
- Research loss balancing and task conflict resolution in multi-task learning
- Train, tune and deploy models based on real driving and simulation data
- Track latest research in multi-task learning, deep learning and autonomous driving
Answer 10 quick questions to check your fit for 多任务学习算法工程师-XC @ Bosch Group.
10 Questions
~2 Minutes
Instant Score
多任务学习算法工程师-XC
Bosch Group
多任务学习算法工程师-XC
Job Description
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 Info
Company Description
Locations
- Shanghai, Shanghai, China
Salary
Estimated Salary Rangemedium confidence
60,000 - 100,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Multi-task learningintermediate
- Depth learningintermediate
- Model training and optimizationintermediate
- Transformer/BEV/OCC algorithmsintermediate
- Problem-solving and analysisintermediate
Required Qualifications
- Master’s or above in computer science, electronic engineering, automation or related fields (PhD preferred) (experience)
- 3+ years computer vision algorithm development experience, autonomous driving multi-task training production experience preferred (experience)
Responsibilities
- Develop and optimize multi-task learning algorithms for driving/parking scenarios
- Design efficient multi-task training framework
- Research loss balancing and task conflict resolution in multi-task learning
- Train, tune and deploy models based on real driving and simulation data
- Track latest research in multi-task learning, deep learning and autonomous driving
Answer 10 quick questions to check your fit for 多任务学习算法工程师-XC @ Bosch Group.
10 Questions
~2 Minutes
Instant Score