美团无人车业务部-动态感知算法工程师
社招全职5年以上软硬件服务-无人车业务部地点:北京 | 深圳状态:招聘
任职要求
1. 硕士及以上学历,计算机、电子、自动化、应用数学等相关专业,5 年以上相关经验。 2. 在计算机视觉或三维感知领域有深入认知,精通动态障碍物检测、分割、跟踪等核心算法中至少一个方向。 3. 具备良好的深度学习基础,熟悉 Transformer、CNN 等主流模型架构,有实际的模型调优和工程落地经验。 4. 熟练掌握 Python / C++,有良好的编程习惯和代码架构意识。 5. 具备较强的 Proble…
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工作职责
1. 以业务和线上问题为导向,深入分析并解决动态感知领域的核心技术难题,负责具体模块的研发与效果打磨。方向包括但不限于:红绿灯检测、障碍物检测与跟踪、语义与意图理解。 2. 持续推动前沿技术落地,优化以视觉为主导的感知基础模型,结合"深度学习模型 + 算法策略"双轮驱动,系统性提升 MPI / MPHB 等核心指标。 3. 参与感知系统架构讨论,具备从模块视角发现系统性问题、提出并落地优化方案的能力。 4. 配合上下游团队推动算法的数据驱动迭代和端到端可导能力建设。
包括英文材料
学历+
OpenCV+
https://learnopencv.com/getting-started-with-opencv/
At LearnOpenCV we are on a mission to educate the global workforce in computer vision and AI.
https://opencv.org/university/free-opencv-course/
This free OpenCV course will teach you how to manipulate images and videos, and detect objects and faces, among other exciting topics in just about 3 hours.
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
Transformer+
https://huggingface.co/learn/llm-course/en/chapter1/4
Breaking down how Large Language Models work, visualizing how data flows through.
https://poloclub.github.io/transformer-explainer/
An interactive visualization tool showing you how transformer models work in large language models (LLM) like GPT.
https://www.youtube.com/watch?v=wjZofJX0v4M
Breaking down how Large Language Models work, visualizing how data flows through.
还有更多 •••