预测算法工程师（WeStar）

WeStar人才计划： 我们面向全球招募顶尖学子，通过提供极具竞争力的薪酬、全面定制化培养方案、开放核心业务工作机会、解锁前瞻性技术难题，培养中国未来的自动驾驶科技人才。我们希望汇聚最优秀的人才，以无人驾驶技术改变人类出行。 Prediction组介绍： 预测模块上游对接感知，下游对接决策规划。通过感知信息对周围障碍物未来可能的行为进行预测。预测团队分钟构建各种深度学习模型，对周围环境中的动态障碍物做出各种预测。如意图预测、轨迹预测、障碍物与无人车交互方式预测等。对于缺乏数据的长尾场景，预测团队还需要通过场景特征分析和逻辑推理的方式，生成相应的预测补充。 WeRide.ai is looking for a machine learning engineer for the prediction team. In this impactful role, you will collaborate with a best-in-class team of engineers to tackle hard problems and help advance mobility solutions to improve everyday lives. You will be responsible in such fields: Active learning and Bayesian optimization Anomaly detection Deep networks Distributed/parallel learning algorithms Learning control Predictive modeling

PhD or master in Computer Science/Engineering, ML/DL, Electrical Engineering, or a related field. Relevant work or lab experience in Machine Learning, Deep Learning or High-Performance Computing Excellent knowledge of theory and practice of machine learning. Excellent programming skills in some rapid prototyping environment such as MATLAB or Python; C++ and parallel programming (e.g., CUDA) is a plus. Knowledge of common machine learning frameworks. Track record of research excellence or significant product development. Knowledge of application areas such as computer vision or robotics Preferred to have: Strong understanding of recent advancements in machine learning research