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本帖最后由 2Brown1White 于 2021-8-20 23:25 编辑
求+米(给我加不会扣你自己的米喔！)
顺序是薪资从高到底，有些起伏所以相邻的公司可能差距不大。薪资高的档大约都是NG千万元左右。
大家可以结合自身硬件条件（学校、英语、日语、刷题数、工作经验等等）参考一下。
日本互联网公司高于Rakuten、Line那个档的整体来说是钱多、不加班、同事大牛多，公司也是东京黄金地段。能进入这些公司的话在日本生活还是挺舒适的，买房也很轻松。
Rakuten、Line这个档位的薪资(500w日元左右)，跟国内一线大厂差不多了，最近有同学从东大毕业回北京去了蚂蚁金服，薪资也接近40万人民币，但是工作是995。这就看你取舍了。
低于这个档位，如果有国内大厂offer的话还是建议回国卷卷，可以在国内大厂工作几年，一线的房子靠自己你八成是买不起的，到时候想出来再出来，毕竟东京很多地段房价也就国内二线城市水平，而且贷款利率还特别低（百分之0点几）。
另外有同学拿到新加坡shopee的sp offer，年包大概50w+人民币，这个也给大家参考一下
Google
公司不用多介绍了，东京这边办公室环境也超好，位置也是超好，就是NG的岗位比较少，北美那边还很多等着transfer过来。英语面试，有些岗位要求会日语。今年身边同学有两个合格的，但是有一个人因为没有HC了被迫去别的公司先。
Indeed
Indeed去年freeze了，21年一口气招了很多NG SDE，薪资在东京也算是顶薪了，Location-Based Salary Range: Tokyo 8,980,000 - 13,020,000 JPY per year. 英语面试，日语无要求。
面试先是一轮外包karat面试，CS基础+coding（会有2-3个follow up），觉得答得不好可以redo一次。这轮过了之后是Whiteboard1（1小时coding）-> Whiteboard2(1小时coding)->Resume Deep Dive(1小时简历+BQ)->Close(半小时闲聊)。coding难度大概是lc medium吧，重要的是沟通。
Amazon
亚麻SDE应该是招的最多的了，身边拿到亚麻offer的最多，NG薪资大约是800左右base，加上奖金也过千了。英语面试，据说22年NG要求日语N2、N1了，我也不确定，反正OA很玄学。
面试先是OA，OA过了通知第一轮phone interview，差不多40min coding+15minBQ。然后这轮过了会安排最终4轮VO，每轮内容跟phone interview差不多，不过这了有很多是ood。
需要注意的就是BQ问题回答不能重复，遵从STAR，紧扣14条LP。
常见问题如：
Tell me about a time when you improved a process? 改进流程
Tell me about a time when you did something that was outside of your responsibility at work. 超出你职责范围的事情
Simplified a difficult task 简化了一项艰巨的任务
Tell me about a time where you have performed a task outside of your job responsibilities? 工作职责之外
when you showed initiative at work 主动性
Most challenging project? 最大的挑战
tell me a time you solve a hard problem 解决难题
Overcome a difficulty 克服困难
Take a risk to do something 冒险做某事
LEARN AND BE CURIOUS: How do you find the time to stay inspired, acquire new knowledge, innovation in your work?（学习新知识，保持好奇心）
multiple solution situation 多种解决方案
Couldn’t finish tasks before the deadline? 不能在DDL前完成？
how to trade off between quality and deadline 质量和期限？权衡
The biggest mistake you made and what did you learn from it? 最大的错误
Detailed help to team member（帮助团队成员）
HIRE AND DEVELOP THE BEST: Tell me about a time when you had to deal with a poor performer on your team.（与团队中表现不佳的成员打交道）
你的manager给你最critical/negtive的feedback是什么
Follow up: Why wrong? What is different Now? 学到了什么?
Microsoft
微软有些岗位要native的日语，招NG SDE不多，不是很了解
Bloomberg
About
Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day. Our customers around the world rely on us to deliver accurate, real-time business and market information that helps them make important financial decisions. At Bloomberg, we are guided by four core values that are the foundation of our continued success: innovation, collaboration, customer service and doing the right thing. We harness the power of data and technology to organize, understand and improve our world. It's our purpose. Come find yours.
招的不多，英语要特别好，技术栈要C++
Apple
招的不多
PayPay
About our Engineering Team at PayPay
We are a fintech compreach. Appier was established in 2012 by a passionate team of experts in AI, data analysis, distributed systems and marketing. Appier now extends across 15 offices in 13 markets in Asia and Europe with more than 400 employees. It has raised US$162 million in funding, and has been recognized as a leader in AI by Fortune Magazine and others.
一家台湾的AI相关的团队，之前有招full-stack engineer，前几年刚在东京上市，刚兴趣的可以看看
LeapMind
About
"機械学習を使った今までにないデバイスをあまねく世に広める"を企業理念に、独自のディープラーニングモデルの軽量化技術や専用回路設計技術と 150を超える企業との共創で得た知見を活かし、事業を展開しています。 私たちが開発したコア製品である”Efficiera"は、独自のディープラーニングモデル軽量化手法「極小量子化技術」を最大限に活かす、FPGAデバイス上もしくはASICデバイス上の回路として動作するCNNの推論演算処理に特化した超低消費電力AI推論アクセラレータIPで、今までAIが使えなかったような環境でもdeep learningによる高度な情報処理を可能にします。 会社紹介資料 (JP)： LeapMind Inc. is developing its business with the company mission, “to create innovative devices with machine learning and make them available everywhere” and our original weight reduction technology for deep learning models, the dedicated circuit design and leveraging the knowledge gained from collaboration with more than 150 companies. Our core product "Efficiera" is an ultra-low power AI inference accelerator that can be implemented on an FPGA device or ASIC/ASSP device, and is specialized for CNN inference operations, taking full advantage of our original deep learning model weight reduction method "extremely low bit quantization". It will enable advanced data processing by deep learning in environments where AI could not be used before.
AI相关的创业公司
KPMG
Accenture
Cognizant
这几家都是咨询公司，薪资也不高，做开发没什么意思，不太了解。
先粗略的写一下，以后有时间再更，大家有什么问题可以留言。
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匿名用户-APMG5
2022-7-12 23:59:52
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