滴滴Artificial Intelligence-算法实习生
任职要求
1.使用领先的数据挖掘和深度学习技术提升滴滴自动驾驶的规划质量和用户体验； 2.有数据挖掘，深度学习等相关基础， 熟悉基本算法； 3.熟练掌握Python/SQL语言，同时掌握C/C++语言更佳； 4.最好可以熟悉自动驾驶…
工作职责
1、通过场景挖掘和深度学习技术预测自动驾驶车辆的意图以及车道粒度的规划 2、优化特别是复杂场景下自动驾驶的规划质量 3、提升自动驾驶平台用户出行体验。
1. 参与优化运动规划算法：融合几何路径与速度规划，实现兼顾安全性与平滑度的轨迹生成。2. 参与设计代价函数与优化框架：通过精细化建模平衡安全、舒适与通行效率，实现最优轨迹生成。
随着用户对Model Pose精度要求的日益提高，需要对纵向仿真模型进行优化。优化的方向包括： 1. 扩大数据训练样本； 2. 优化数据预处理方法； 3. 增加模型输入信号； 4. 对不同批次车辆分别做训练； 5. 尝试其他模型结构；
Location: Beijing THE ROLE: AMD is looking for an AI R&D intern to join our growing team. As a key contributor you will be part of a leading team to drive and enhance AMD’s abilities to explore the highest quality, academic/industry-leading technologies. THE PERSON: The ideal candidate possesses an innovative and problem-solving mindset, has a keen eye for Software engineering development, and is diligent and passionate about Technology. A successful candidate will need to employ strong knowledge in computer technologies, and SW engineering expertise as well as a strong ability to compete effectively in a fast-paced, relevant environment while working with different teams of engineers and collaborators. KEY RESPONSIBILITIES: Research the latest advancements and technologies in Generative AI, more specifically image/video/world generation, MLLM, designing and developing innovative applications aligned with company needs. Study the SOTA generation algorithms and enhance the accuracy and performance of existing models. Explore optimized deployment approaches ensuring efficiency in production environments. Collaborate with teams, share best practices, and provide guidance and support on Generative AI technologies.
1、协助搭建基于仿真的自动驾驶系统测试评估体系； 2、参与自动驾驶系统问题分析、定位，通过部分系统分析和数据分析工作为部门提供高价值研发数据 3、参与仿真引擎开发，提升仿真效率；