Uber ATG(Uber无人车)一位hiring manager发个招聘广告,你的简历会直接转给这位manager本人。
如果你是ML Engineer,欢迎来投!
如果你是其他方向的SDE,有基础的ML知识,想进入ML领域,做ML Systems Design,那也欢迎!
工作点在旧金山或者匹兹堡
选择旧金山的,工作上手之后,可以每周在palo alto工作几天,不用每天进城。
Minimum requirement: 
2 years industry experience.
- New grads: you can still apply directly on uber website, referrals won't help.
Requirement: 
We have openings in these two profiles for all levels (L3, 4, 5a, 5b, 6 etc)
  • ML engineer, good knowledge of ML in depth, knows how algorithms work under the hood, can code up ML methods without directly calling packages, can code like an engineer (leetcode medium).
  • Engineers with working knowledge of ML. This is especially suitable for strong engineers who wish to go into the field of ML, but don't consider themselves ML experts yet. Your focus would be building scalable systems, you still need a working knowledge of ML, and strong coding basics (leetcode medium).
Both profiles would need strength in system design, as we are building complex systems. 
Why work here: 
  • Self driving domain!!
  • Fast paced engineer-driven environment with vast autonomy and lots of room for personal-growth and impact
  • Solving problems for the real, physical world, not just optimizing clicks
  • Not just implementing functions, you will get to design and build systems from scratch. 
  • a variety of ML problems (DL and classic ML alike)
  • Work closely with high calibre researchers and mature, experienced engineers
  • Fast growing team, opportunity to advance your career
  • Startup like culture without much bureaucracy
You will like it here if:
- You enjoy delivering results and getting things done
- You cherish autonomy and don't expect hand-holding
- You embrace the adventure when faced with uncertainty
WLB:
- reasonable work hours. Most engineers here have families and work the very regular 9-5. There is no Uber 1.0 craziness here!
Location: 
SF or Pittsburg
for San Francisco: You will start in the city, but have the flexibility of working a couple of days from Palo Alto once you have settled in.
Note 
I don't do referrals for other teams (there are plenty of people doing referrals, feel free to apply there), please only apply when you are interested in these roles. 
Please send your resume, and if you have applied before, please disclose that as well. 
邮件统一标题:Uber ATG Resume
邮件里请回答三个问题:
  1. immigration status:h1b or GC,如果还在opt阶段,抽签几次了,什么时候opt结束
  2. start date 
  3. 如果在工业界没有做过ML,请介绍一下你的ML知识从哪里学的、做过什么相关项目(最好包括在简历里)。
如果合适,很快会安排面试;如果三天没收到回复,你也可以自行去投uber其他位置(说明hiring manager没有给你投进系统)
Data Science 404B
Technical Interview for Machine Learning Engineer
小K
这门课是机器学习技术模拟面试(Technical Mock Interview for Machine Learning)
小K老师在多家公司做过面试官和Hiring Manager,参与设计和定义多家公司的面试流程、面试题目和级别评判标准。
在这门课程里,小K老师对多名学生进行了模拟面试,并且提供feedback。供大家观摩学习。
课程视频正在制作中,内容会逐渐放出。
如果你也打算报名参加:
课程链接(或者左下角阅读原文)
https://learn.1point3acres.com/courses/ds404b-technical-interview-for-machine-learning/
好好学习@一亩三分地
https://learn.1point3acres.com/
一亩三分地官方APP
签到攒分更方便
录取、面经、工资、H1B随时看
下载链接
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Google Play:https://goo.gl/g7Rfnq
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