Computer Vision Engineer 职业准备

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Computer Vision Engineer

机器学习工程师

硬实力：必须熟悉影像处理／电脑视觉演算法，能熟练运用C/C++、Java、Python等程式语言撰写，使电脑能够准确分析图像的程式

软实力：需要有能力随时修改程式上出现的问题，并且能准确运用，或者找到合适的datasset来执行, 替考演算法。 同时，团队合作和沟通能力都是非常重要的，毕竟一个项目不是由单一工程师来执行的。

Companies: Google, Microsoft, Amazon, Facebook, NVIDIA

机器学习工程师所需的专业：

Computer Science, Electrical Engineer

相关课程：

CSE 455：Computer Vision (4)

CEE 291：Introduction To AutoCAD For Civil Engineers

EE 421：Quantum Mechanics for Engineers

可阅读的书籍及资料：

- Multiple View Geometry in Computer VisionByRichard Hartley Andrew Zisserman(Engineering Library)

- Computer Vision: Principles, Algorithms, Applications, LearningBy E.R.Davies

- Computer Vision: Models, Learning, and InferenceBy Dr. Simon J.D. Prince(Engineering Library)

- Computer Vision: Algorithms and Applications (Texts in Computer Science), By Richard Szeliski

专业相关program/internship

1. Computer Vision Research Engineer (Summer Intern) at Samsung in California

2. Intern-Algorithm Engineer（Computer Vision) at Alibaba Group in China (summer)[More can be founded at handshake.com]

3. UW Reality Lab

4. Online courses from organizations like Coursera and Udacity, come with certificates

5. GRAIL, the Graphics and Imaging Laboratory of UW

How to becomea computer vision engineer？

1. Bachelor degree is fine, butMDorPhDis strongly recommended

2. Deep knowledge of3D Geometryand3D models/images

3. Strong knowledge ofC++ and Python

4. Somework experience(at least one, more are better); internships are essential if full-time work is not realistic so far

5.Communication skills

Real person example:

Ed Walker(Perception Engineer at Waymo)

Education:

Bachelor of Science - Computer Science at Princeton University

Experience:

Software Engineer at PlaceIQ

Software Engineer at Google

Computer Vision Engineer at Built Robotics

Perception Engineer

Approved Ability:

Java, C, C++, Amazon Web Services, Python, Objective-C, Ruby

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