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
Requirements
- 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
