
文远知行仿真资深算法工程师
任职要求
1.Bachelor's or higher degree in Computer Science or an equivalent field 2.3+ years of relevant work experience 3.Proficiency in C++ and Python, including 1+ years of modern C++ in production environment 4.Experience with developing, optimizing and productizing deep learning model. 5.Solid understanding of common data structure and algorithm. 6.Experience with common deep learning software and hardware. Plus: 1.Experience with GNN (Graph Neural Network), Transformer, BERT, LSTM, or other deep-learning models. 2.Experience with Reinforce Learning or other decision-making models. 3.Experience with ACM/NOI related competition. 4.Experience with solvin…
工作职责
WeRide.ai is looking for an Engineering Tech Lead to join our Simulation team and help build the next generation of autonomous driving Simulation Engine, Algorithm and Modeling. What you will do: 1.Oversee WeRide’s Simulation direction, lead and grow algorithm team in this scope 2.Define roadmaps, drive technical projects and provide leadership in an innovative and fast-paced environment. 3.Design, implement and optimize existing and next-generation of Simulation Algorithm and Modeling, including agent (vehicle/pedestrian/cyclist/…) behavior modeling, evaluation modeling and scenario-based data mining. 4.Build tools and automation pipelines to process large-scale real-world traffic data for model training. 5.Work across teams to facilitate safe and fast iteration of the autonomous driving software components: perception, motion planning, control, localization, and other.

团队介绍 我们是「哈啰-普惠用车算法」团队,负责哈啰四轮车核心定价及交易算法的研发,致力于打造最前沿的大规模智能定价及交易引擎。通过极具效率的智能实时决策能力,提升司乘交易效率,为集团核心经营指标增长提供巨大助力。 在这里,你可以参与高度智能的定价及交易引擎的建设,深度参与大规模机器学习、因果推断算法的优化工作 在这里,你可以运用业务分析能力和商业洞察,优化价格及交易策略,为大规模双边交易市场提供增量的爆发点 在这里,你可以运用高度抽象的技术思维持续优化定价引擎的仿真系统、分析系统的建设,挑战业界深层次难题 职位描述 1.研究并迭代大规模分布式深度因果算法及深度学习算法,持续提升定价及交易系统的关键性能 2.研究商业决策相关算法,基于真实商业模型不断提高实时决策的准确性,精准动态调节城际/市内出行大环境 3.建设和优化定价及交易引擎的仿真、分析系统,持续为集团核心经营指标增长提供稳定、高效的基础能力 4.能够基于业务诉求和新场景冷启动需求,快速制定策略方案并优化策略效果,适应复杂多变的实际业务场景 5.能够结合产品和运营诉求,提供完整策略解决方案,推动多方合作人员高效落地,并结合实际业务效果快速迭代
1. 负责国际化网约车交易策略算法设计和实现,包括但不限于司乘匹配,运力调度,流量分发,供需预测,仿真系统等方向; 2. 针对不同国家交易市场的供需情况和竞争态势,和业务方协同设定目标,使用机器学习/强化学习/运筹优化等算法和技术,优化成交率等核心业务指标,助力业务发展。

1.研究并迭代大规模分布式深度因果算法及深度学习算法,持续提升匹配、定价及交易系统的关键性能 2.研究商业决策相关算法,基于真实商业模型不断提高实时决策的准确性,精准动态调节网约车生态大环境 3.建设和优化定价及交易引擎的仿真、分析系统,持续为集团核心经营指标增长提供稳定、高效的基础能力 4.能够基于业务诉求和新场景冷启动需求,快速制定策略方案并优化策略效果,适应复杂多变的实际业务场景 5.能够结合产品和运营诉求,提供完整策略解决方案,推动多方合作人员高效落地,并结合实际业务效果快速迭代