美团无人车业务部-静态感知算法工程师
社招全职2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.硕士或以上学历,计算机、电子、应用数学等相关方向。 2.能够运用规则算法提升帧间稳定性和一致性,提升MPI/MPHB等指标;熟悉静态道路元素模型。 3.具有良好的深度学习基础,熟悉CNN、Transformer等模型,具有实际应用的模型调优经验。 4.熟练掌握Python/C++…
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工作职责
1.参与在线地图研发工作,包括物理元素(车道线、道路边缘、停止线、路面标识、人行道、交通标识牌、停车位等)和逻辑元素(车道中心线、交通标识牌车道绑定等)。 2.负责并研发规则算法(矢量化方法、时空关联跟踪融合方法),同时能够兼顾Learning based模型和多图源融合方法的研发。
包括英文材料
学历+
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/
Message Passing Interface+
https://www.youtube.com/watch?v=7huftuXExV0
Parallel programming and MPI are crucial tools for achieving high performance computing.
[英文] 📺Basics of the Message Passing Interface (MPI) to program distributed memory parallel computers
https://www.youtube.com/watch?v=tm8M5H1OZmw
The Message Passing Interface (MPI) is a widely used standard to program distributed message parallel computers.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
CNN+
https://learnopencv.com/understanding-convolutional-neural-networks-cnn/
Convolutional Neural Network (CNN) forms the basis of computer vision and image processing.
[英文] CNN Explainer
https://poloclub.github.io/cnn-explainer/
Learn Convolutional Neural Network (CNN) in your browser!
https://www.deeplearningbook.org/contents/convnets.html
Convolutional networks(LeCun, 1989), also known as convolutional neuralnetworks, or CNNs, are a specialized kind of neural network for processing data.
https://www.youtube.com/watch?v=2xqkSUhmmXU
MIT Introduction to Deep Learning 6.S191: Lecture 3 Convolutional Neural Networks for Computer Vision
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 •••