軟體工程師進入科技大公司的的另類通道- 學徒計畫 (2021/09/29 更新)
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但如果你已經很確定你想要當軟體工程師, 並且已經轉職完,苦無機會證明自己呢? 好消息是,現在有另外一種方式可以讓你進入矽谷的科技公司,那就是各家公司都在推出的學徒計畫 Apprenticeship Program。
各大科技公司目前都在前仆後繼地開啟學徒計畫,目的是更廣納各式背景的軟體工程師,希望招攬更多女性、少數民族、或是非傳統 CS 出生的軟體工程師加入。 一般學徒計畫會比初階軟體工程師的面試稍微再簡單一些,有些都還不用實地去公司面試, 被錄取後大概會有為期數個月的帶薪學習/工作,並證明自己能力的機會。 如果表現的好的話,許多人也是可以順利轉為正職軟體工程師, 省下了不容易得到面試機會、或是通不過面試的不確定性。
目前我知道有軟體工程師學徒計畫的公司有:
LinkedIn Reach (2021/09/29 更新)
Microsoft 旗下的 LinkedIn 每半年都有學徒計畫,學徒計畫有包含以下 6 種面向: Backend, Mobile, User Interface, , Data Science - Machine Learning, User Acceptance Product Evaluator, and Technical Program Manager (TPM)。最近一期是 9/27 宣布,10/4 公布申請方式。一般面試會有 coding challenge 及 interview,有薪學徒計畫最特別的點是計畫長度從 1 年期到 5 年都有!有興趣的讀者記得這幾天準備, 報名一開始就趕緊送出申請。
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同時也有136部Youtube影片,追蹤數超過61萬的網紅ちはやYT,也在其Youtube影片中提到,この世界ではピッケルがバグってます! 使い過ぎて世界がバグるまえに遠藤を倒すことはできるのか? Minecraft but, Chunk Mining Data Pack... ▼マイクラ再生リスト https://youtube.com/playlist?list=PLBuXAVxwLcn5M...
data challenge 在 多益達人 林立英文 Facebook 的精選貼文
Reinventing Workers for the Post-COVID Economy
The nation’s economic recovery from the COVID-19 pandemic will hinge ( ) to some extent ( ) on how quickly show managers can become electricians ( ), whether taxi drivers can become plumbers ( ), and how many cooks can manage software for a bank.
This is likely to prove especially problematic for millions of low-paid workers in service industries like retailing ( ), hospitality ( ), building maintenance and transportation, which may be permanently impaired ( ) or fundamentally transformed. What will janitors ( ) do if fewer people work in offices? What will waiters do if the urban restaurant ecosystem never recovers its density ( )?
Their prognosis ( ) is bleak ( ). Marcela Escobari, an economist at the Brookings Institution, warns that even if the economy adds jobs as the coronavirus risk fades ( ), “the rebound won’t help the people that have been hurt the most.”
Looking back over 16 years of data, Escobari finds that workers in the occupations ( ) most heavily hit since the spring will have a difficult time reinventing themselves. Taxi drivers, dancers and front-desk clerks have poor track records moving to jobs as, say, registered nurses, pipe layers or instrumentation technicians.
COVID is abruptly ( ) taking out a swath ( ) of jobs that were thought to be comparatively ( ) resilient ( ), in services that require personal contact with customers. And the jolt ( ) has landed squarely on workers with little or no education beyond high school, toiling ( ) in the low-wage service economy.
“The damage to the economy and particularly to workers will probably be longer lasting than we think it is going to be,” said Peter Beard, senior vice president at the Greater Houston Partnership, an economic development group.
What’s more, he said, COVID will intensify underlying ( ) dynamics ( ) that were already transforming ( ) the workplace. Automation ( ), for one, will most likely accelerate ( ) as employers seek to protect their businesses from future pandemics
The challenge is not insurmountable ( ). Yet despite scattered ( ) success stories, moving millions of workers into new occupations remains an enormous ( ) challenge.
“We need a New Deal ( ) for skills,” said Amit Sevak, president of Revature, a company that hires workers, trains them to use digital tools and helps place them in jobs. “President Roosevelt deployed ( ) the massive number of workers unemployed in the Great Depression on projects that created many of the dams ( ) and roads and bridges we have. We need something like that.”
勞工轉型以因應後疫情時代經濟
美國經濟能否從新型冠狀病毒影響下復甦,將在一定程度上取決於表演經理們要多久才能變成電工,計程車司機能否化身為水管工,以及有多少廚師能替銀行管理軟體。
這對零售業、餐旅業、建築維修和運輸業等服務業數百萬低薪工人來說,問題恐怕特別大。這些行業可能受到永久性損害或發生根本性改變。若辦公室裡人變少了,工友要做什麼呢?若都市餐廳生態系統繁盛不再,服務生又該如何?
他們的前景是黯淡的。布魯金斯學會經濟學家Marcela Escobari警告說,即使就業機會隨新型冠狀病毒疫情風險消退而增加,「經濟反彈也幫不了那些受創最重的人」。
Escobari檢視16年來的數據發現,今春以來受衝擊最大的一些職業,勞工將很難自我改造。計程車司機、舞者和櫃檯人員轉行從事護理師、舖管工或儀器技工等工作者十分有限。
新型冠狀病毒突然帶走了一大批原本被認為較不容易永久消失的工作,即需與客戶面對面接觸的服務工作。這一衝擊直接打擊到那些僅受過高中教育、在低薪服務經濟區塊中掙扎的勞工。
經濟發展組織大休士頓商會資深副總裁Peter Beard表示:「經濟、尤其是勞工們受害的時間,可能比我們預期的還要更長。」
他說,更重要的是,新型冠狀病毒疫情將強化已經在改變職場的潛在動力,自動化即為一例,由於雇主力求讓自己的企業未來不受大疫情影響,自動化極可能加速。
這項挑戰並非不能克服。然而,儘管有少數成功的例子,讓數百萬勞工轉業仍是巨大的挑戰。
雇用勞工後培訓他們使用數位工具,並幫他們找到工作的Revature公司總裁Amit Sevak說:「我們需要一項針對職業技能的新政。小羅斯福總統大蕭條時期把大量失業勞工投入工程計畫,興建了我們現在使用的水壩、道路與橋樑。我們需要這樣的東西。」
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data challenge 在 SkyREC Facebook 的精選貼文
Analyzed data from video footage is proven to bring add-on value to the legacy #security cameras and increase 30% sales revenue for #retail stores of Timberland.
Read the Harvard Business Review story to learn how #SkyREC #AiMS with its object-focused video #analytics powered by AI helps optimize store operations for Timberland: https://bit.ly/2WXrePn
data challenge 在 ちはやYT Youtube 的精選貼文
この世界ではピッケルがバグってます!
使い過ぎて世界がバグるまえに遠藤を倒すことはできるのか?
Minecraft but, Chunk Mining Data Pack...
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data challenge 在 Chloe Ting Youtube 的最佳解答
15 Mins Legs and Booty workout with Dumbbells, that you can do with or without a resistance bands. Time to get fit if you have a set of dumbbells at home, feel free to use alternatives you can find at home if your just getting started.
✚ What weights should I use? Do I need dumbbells? How many reps?
Check out the FAQ section at the bottom of the schedule page:
https://www.chloeting.com/program/2021/get-fit-challenge.html
✚ Free Program Schedule
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Episode 1 - https://youtu.be/nnpwDoD6fyA
Episode 2 - https://youtu.be/Stxhth7HT_E
Episode 3 - https://youtu.be/mZM9Fimp2g8
Episode 4 - https://youtu.be/Ksui3Ui1o60
Episode 5 - June 30th
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#workouts #fitness #chloeting #chloetingchallenge #abs #homeworkouts
IMPORTANT DISCLAIMER: Some people may see my video titles as click-bait. YouTubers optimise their video's meta data for discovery due to how the algorithm is like. This isn't anything new. Most people who've been watching YouTube for years would understand this. If you're unhappy and get triggered by this, well, this channel isn't for you then. I’ve provided free workout schedules and programs since day 1 and have always optimised my meta data as such so that's not going to change.
Having said that, it doesn't mean the workout do not work. You will still see results by following a suitable program schedule, watching your diet, being in a deficit or surplus (based on your goals), doing exercises in good form, etc. These are all equally important factors. You're not going to get abs, grow a booty, grow biceps magically from 1 or 2 videos, in 1, 2, 3 or 4 weeks cause everyone is different. I've explain multiple times throughout videos throughout my channel over years that it takes time and lots of factors, so don't take a video title out of context. Targetting fat loss is not scientifically proven. Everyone is different and it takes time.
When doing any home workouts, do take precaution to exercise in a safe environment, and if you need help or you're not seeing results, I suggest seeing a health and fitness professional to give you tailored advice on your exercise form and dietary needs. I am not a medical professional and what I share on my channel are my views and what has worked for myself. Your health and safety is the utmost importance so find out what works for you.
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