Lo mfanekiso ngu-Arthur Kuzin (), ishwankathela ngokuchanekileyo umxholo weposti yebhlog. Ngenxa yoko, le ngxelo ilandelayo kufuneka ijongwe njengebali langoLwesihlanu kunento eluncedo kakhulu neyobugcisa. Ukongezelela, kuyafaneleka ukuba uqaphele ukuba isicatshulwa sisityebi ngamagama esiNgesi. Andazi ukuba ezinye zazo ndingaziguqulela njani ngokuchanekileyo, kwaye andifuni kuguqulela ezinye zazo.
Indlela olwenzeka ngayo utshintsho olusuka kwindawo yemfundo ukuya kwindawo yoshishino ityhilwa kwiziqendu ezibini zokuqala. Kule ncoko iya kuba malunga nento eyenzekayo emva koko.
Bekungo January 2017. Ngelo xesha, ndandineminyaka engaphezulu kwexesha lomsebenzi kwaye ndasebenza eSan Francisco kwinkampani njengo Sr. Isazi seDatha.
I-TrueAccord sisiqalo sokuqokelela amatyala. Ngamagama alula - i-arhente yokuqokelela. Abaqokeleli badla ngokubiza kakhulu. Sithumele ii-imeyile ezininzi, kodwa sitsale iminxeba embalwa. I-imeyile nganye ikhokelela kwiwebhusayithi yenkampani, apho umboleki wanikezwa isaphulelo kwityala, kwaye wavunyelwa ukuba ahlawule ngezavenge. Le ndlela ikhokhelele ekuqokeleleni ngcono, kuvumeleke ukunyuswa kunye nokungatyhileki kancinci kumatyala.
Inkampani yayiqhelekile. Imveliso icacile. Ulawulo lubhadlile. Indawo ilungile.
Ngokomlinganiselo, abantu abasentlanjeni basebenza kwindawo enye malunga nonyaka onesiqingatha. Oko kukuthi, nayiphi na inkampani oyisebenzelayo linyathelo nje elincinci. Kweli nyathelo uya kukhulisa imali, ufumane ulwazi olutsha, izakhono, unxibelelwano kunye nemigca kwi-resume yakho. Emva koku kukho inguqu kwinyathelo elilandelayo.
Kwi-TrueAccord ngokwayo, ndibandakanyeke ekufakeni iinkqubo zokucebisa kwiileta zeendaba ze-imeyile, kunye nokubeka phambili iifowuni zefowuni. Impembelelo iyaqondakala kwaye ilinganiswe kakuhle ngeedola ngovavanyo lwe-A/B. Ekubeni kwakungekho matshini wokufunda ngaphambi kokufika kwam, impembelelo yomsebenzi wam ayizange ibe mibi. Kwakhona, kulula kakhulu ukuphucula into kunento esele yenziwe kakhulu.
Emva kweenyanga ezintandathu zokusebenza kwezi nkqubo, bade baphakamisa umvuzo wam wesiseko ukusuka kwi-150k yeedola ukuya kwi-163k yeedola. Eluntwini kukho meme malunga $163k. Ikhula ngemilenze yayo ukusuka apha.
Konke oku kwakumangalisa, kodwa akuzange kukhokele ndawo, okanye kukhokele, kodwa akukho apho.
Ndinentlonipho enkulu ngeTrueAccord, zombini inkampani kunye nabafana endisebenze nabo apho. Ndafunda okuninzi kubo, kodwa andizange ndifune ukusebenza ixesha elide kwiinkqubo zokucebisa kwi-arhente yokuqokelela. Ukusuka kweli nyathelo bekufuneka unyathele kwicala elithile. Ukuba awukho phambili nangaphezulu, ngoko ubuncinci ecaleni.
Yintoni endingayithandanga?
- Ukusuka kwimbono yokufunda koomatshini, iingxaki azizange zindivuyise. Ndandifuna into esefashonini, yolutsha, oko kukuthi, Ukufunda ngokuNzulu, Umbono weKhompyutha, into ekufutshane nesayensi okanye ubuncinci kwi-alchemy.
- Isiqalo, kunye ne-arhente yokuqokelela, ineengxaki zokuqesha abasebenzi abaqeqeshwe kakhulu. Njengokuqala, ayinakuhlawula kakhulu. Kodwa njenge-arhente yokuqokelela, ilahlekelwa kwisimo. Ukuthetha nje, ukuba intombazana ngomhla ibuza apho usebenza khona? Impendulo yakho: "KuGoogle" ivakala iodolo zobukhulu ngcono kune "arhente yokuqokelela." Ndikhathazwe kancinci kukuba kubahlobo bam abasebenza kuGoogle nakuFacebook, ngokungafaniyo nam, igama lenkampani yabo livule iingcango ezinje: unokumenywa kwinkomfa okanye ukudibana njengesithethi, okanye abantu abanomdla ngakumbi babhale kwi-LinkedIn. kunye nomnikelo wokudibana kwaye uxoxe ngeglasi yeti. Ndikuthanda kakhulu ukunxibelelana nabantu endingabaziyo ngokobuqu. Ke ukuba uhlala eSan Francisco, ungathandabuzi ukubhala - masiyokusela ikofu kwaye sithethe.
- Ukongeza kum, iiNzululwazi ezintathu zeData zasebenza kwinkampani. Ndandisebenza kumatshini wokufunda, kwaye basebenza eminye imisebenzi yeNzululwazi yeDatha, eqhelekileyo kuyo nayiphi na isiqalo ukusuka apha ukuya kusasa. Ngenxa yoko, abazange bakuqonde ngokwenene ukufunda koomatshini. Kodwa ukuze ndikhule, kufuneka ndinxibelelane nomntu, ndixubushe ngamanqaku kunye nenkqubela phambili, kwaye ndicele ingcebiso, ekugqibeleni.
Yintoni eyayifumaneka?
- Imfundo: iFiziksi, hayi isayensi yekhompyuter.
- Olona lwimi lweprogram ndandilwazi kuphela yayiyiPython. Kwakukho imvakalelo yokuba kufuneka nditshintshele kwi-C ++, kodwa andizange ndikwazi ukujikeleza kuyo.
- Unyaka kunye nesiqingatha somsebenzi kwishishini. Ngapha koko, emsebenzini andizange ndifunde i-Deep Learning okanye iComputer Vision.
- Akukho nqaku elinye kwiMfundo eNzululwazi / uMbono weKhompyutha kwi-resume.
- Kwakukho impumelelo yeKaggle Master.
Ubufuna ntoni?
- Isikhundla apho kuya kufuneka ukuqeqesha amanethiwekhi amaninzi, kwaye kufuphi nombono wekhompyutheni.
- Kungcono ukuba yinkampani enkulu efana neGoogle, Tesla, Facebook, Uber, LinkedIn, njl. Nangona kwi-pinch, ukuqalisa kuya kwenza.
- Akukho mfuneko yokuba ndibe yeyona ngcaphephe yokufunda koomatshini kwiqela. Bekukho imfuneko enkulu yamaqabane aphezulu, abacebisi kunye nazo zonke iintlobo zonxibelelwano, nto leyo bekumele ukuba ikhawulezise inkqubo yokufunda.
- Emva kokufunda izithuba zeblogi malunga nendlela abafundi abaphumeleleyo abangenawo amava ezoshishino banembuyekezo epheleleyo ye-$ 300-500k ngonyaka, ndandifuna ukuya kuluhlu olufanayo. Akunjalo ukuba oku kundikhathaza kakhulu, kodwa ekubeni bathi le nto yinto eqhelekileyo, kodwa ndincinci, ngoko lo ngumqondiso.
Umsebenzi wawubonakala usonjululwa ngokupheleleyo, nangona kungengendlela yokuba ungatsibela kuyo nayiphi na inkampani, kodwa kunokuba ulambile, yonke into iya kusebenza. Oko kukuthi, amashumi okanye amakhulu emizamo, kunye neentlungu ezivela kuyo yonke into engaphumeleli kunye nokulahlwa konke, kufuneka kusetyenziswe ukulola ukugxila, ukuphucula imemori kunye nokwelula imini kwiiyure ze-36.
Ndayilungisa i-resume yam, ndaqalisa ukuyithumela, kwaye ndaya kudliwano-ndlebe. Ndabhabha ndadlula uninzi lwabo kwinqanaba lonxibelelwano no-HR. Abantu abaninzi babefuna i-C ++, kodwa andizange ndiyazi, kwaye ndandivakalelwa kukuba andiyi kuba nomdla kakhulu kwizikhundla ezifuna i-C ++.
Kubalulekile ukuqaphela ukuba ngexesha elifanayo kwakukho utshintsho lwesigaba kuhlobo lokhuphiswano kwiKaggle. Ngaphambi kuka-2017 kwakukho idatha eninzi ye-tabular kwaye inqabile kakhulu idatha yesithombe, kodwa ukuqala ngo-2017 kwakukho imisebenzi emininzi yombono wekhompyutheni.
Ubomi buhambe ngale ndlela ilandelayo:
- Sebenza emini.
- Xa tech screen / onsite uthatha ixesha off.
- Ngorhatya nangeempelaveki Kaggle + amanqaku / iincwadi / izithuba blog
Ukuphela kuka-2016 kwaphawulwa yinto yokuba ndijoyine uluntu , eyenze lula izinto ezininzi. Kukho abafana abaninzi kuluntu abanamava oshishino olutyebileyo, okwasivumela ukuba sibuze imibuzo emininzi yobudenge kwaye sifumane iimpendulo ezininzi ezihlakaniphile. Kukho neengcali ezininzi eziqinileyo zokufunda umatshini kuzo zonke iintambo, ezithi, ngokungalindelekanga, zandivumela, nge-ODS, ukuba ndivale umcimbi ngonxibelelwano oluthe gqolo olunzulu malunga neNzululwazi yeDatha. Ukuza kuthi ga ngoku, ngokweML, i-ODS indinika amaxesha amaninzi ngaphezu kokuba ndifika emsebenzini.
Ewe, njengesiqhelo, i-ODS ineengcali ezaneleyo kukhuphiswano eKaggle nakwezinye iisayithi. Ukusombulula iingxaki kwiqela kuyonwabisa ngakumbi kwaye kunemveliso, ke ngokuqhula, izithuko, i-memes kunye nolunye ulonwabo lwe-nerdy, saqala ukusombulula iingxaki nganye nganye.
Ngo-Matshi 2017 - kwiqela kunye noSerega Mushinsky - indawo yesithathu . Imbasa yegolide kwi Kaggle + $20k ezimbini. Kulo msebenzi, sebenza ngemifanekiso yesathelayithi + i-binary segmentation nge-UNet yaphuculwa.
Kwangaloo Matshi, ndaya kudliwanondlebe e-NVidia kunye neqela le-Self Driving. Ndisokole ngenene ngemibuzo malunga nokuFumana iNto. Kwakungekho lwazi lwaneleyo.
Ngethamsanqa, kwangaxeshanye, ukhuphiswano lokuFumana iNjongo kwimifanekiso yasemoyeni evela kwakwi-DSTL enye lwaqala. UThixo ngokwakhe wayalela ukuba asombulule ingxaki kunye nokuphucula. Inyanga yangokuhlwa kunye neempelaveki. Ndithathe ulwazi ndagqibezela okwesibini. Olu khuphiswano lwalunomdla kwimithetho, nto leyo eyakhokelela ekubeni ndiboniswe eRashiya kumajelo amanyeneyo kungekhona amanyeneyo. Ndakhwela , nakwintaphane yoshicilelo nopapasho olukwi-intanethi. Iqela le-Mail Ru lifumene i-PR encinci ngeendleko zam kunye nemali yayo, kwaye isayensi esisiseko eRashiya yatyetyiswa ngama-12000 eeponti. Njengesiqhelo, kwakubhalwe ngalo mxholo . Yiya apho ngeenkcukacha.
Ngelo xesha, u-Tesla recruiter waqhagamshelana nam waza wanikela ukuthetha malunga ne-Computer Vision position. Ndavuma. Ndabaleka ndaya ekhaya, izikrini ezimbini zetekhnoloji, udliwanondlebe kwindawo, kwaye ndaba nencoko emnandi kakhulu noAndrei Karpathy, owayesanda kuqeshwa eTesla njengoMlawuli we-AI. Inqanaba elilandelayo litshekishwa ngasemva. Emva koko, uElon Musk kwafuneka asivume ngokwakhe isicelo sam. I-Tesla ineSivumelwano esingqongqo sokungaVelisi (NDA).
Khange ndiyiphumelele ibackgound check. Umqeshwa uthe ndincokola kakhulu kwi-Intanethi, ndisaphula i-NDA. Indawo kuphela apho ndathetha nantoni na malunga nodliwano-ndlebe eTesla yayiyi-ODS, ngoko i-hypothesis yangoku kukuba umntu wathatha umfanekiso weskrini waza wabhalela u-HR eTesla, kwaye ndasuswa kugqatso ngaphandle kwengozi. Bekulihlazo ke ngoko. Ngoku ndiyavuya ukuba ayizange isebenze. Isikhundla sam ngoku singcono kakhulu, nangona kuya kuba mnandi kakhulu ukusebenza no-Andrey.
Ngokukhawuleza emva koko, ndangena kukhuphiswano lwemifanekiso yesathelayithi eKaggle ukusuka . Ingxaki yayilula kwaye idika kakhulu; akukho mntu wayefuna ukuyisombulula, kodwa wonke umntu wayefuna imbasa yegolide yasimahla okanye ibhaso lemali. Ngoko ke, kunye neqela le-Kaggle Masters yabantu be-7, savumelana ukuba siya kuphosa isinyithi. Siqeqeshe iinethiwekhi ezingama-480 kwimowudi ye-'fit_predict' kwaye senza udibaniso olunemigangatho emithathu kuzo. Siphume kwindawo yesixhenxe. . Hi ndlela leyi, uJeremy Howard, owaziwa ngokubanzi ngokuba ngumdali ugqibile 23.
Emva kokuphela kokhuphiswano, ngomhlobo owayesebenza kwi-AdRoll, ndalungiselela i-Meetup kwindawo yabo. Abameli beeLabhu zePlanethi bathetha apho malunga nokuba umbutho wokhuphiswano kunye nokumakishwa kwedatha kubonakala njani kwicala labo. UWendy Kwan, osebenza eKaggle kwaye eyongamela ukhuphiswano, uthethe ngendlela alubone ngayo. Ndachaza isisombululo sethu, amaqhinga, ubuchule kunye neenkcukacha zobugcisa. Isibini kwisithathu sabaphulaphuli basombulula le ngxaki, ngoko imibuzo yabuzwa kwinqanaba kwaye ngokubanzi yonke into yayipholile. UJeremy Howard wayelapho naye. Kwafumaniseka ukuba ugqibe kwindawo ye-23 kuba engayazi indlela yokubeka imodeli kwaye akazi ngale ndlela yokwakha ii-ensembles kwaphela.
Iintlanganiso kwintlambo yokufunda koomatshini zahluke kakhulu kwiindibano zaseMoscow. Njengomthetho, i-meetups kwintlambo iphantsi. Kodwa eyethu yahamba kakuhle. Ngelishwa, iqabane obekufanele licofe iqhosha kwaye lirekhode yonke into alicofa iqhosha :)
Emva koko, ndamenywa ukuba ndithethe nesikhundla seNjineli yokufunda eNzululwazi kwakwelebhu yePlanethi enye, kwaye kwangoko kwindawo. Khange ndiyigqithise. Isigama sokwala kukuba akukho lwazi lwaneleyo kwi-Deep Learning.
Ndiyile ukhuphiswano ngalunye njengeprojekthi kwi . Ngengxaki yeDSTL sabhala kwaye wayithumela kwi-arxiv. Hayi inqaku, kodwa isonka. Ndikwacebisa kuye wonke umntu ukuba afake iprofayile ye-LinkedIn ngokhuphiswano, amanqaku, izakhono, njalo njalo. Kukho ulungelelwaniso oluhle phakathi kwamangaphi amagama angundoqo onawo kwiprofayile yakho ye-LinkedIn kunye nokuba abantu bakuthumelela kangaphi umyalezo.
Ukuba ebusika nasentwasahlobo ndandinobuchule kakhulu, ngoko ngo-Agasti ndibe nolwazi kunye nokuzithemba.
Ekupheleni kukaJulayi, umfana owayesebenza njengomphathi weNzululwazi yeDatha e-Lyft waqhagamshelana nam kwi-LinkedIn kwaye wandimema ukuba ndifumane ikofu kwaye ndixoxe ngobomi, malunga neLyft, malunga ne-TrueAccord. Sancokola. Wanikezela ngodliwano-ndlebe neqela lakhe ngesikhundla seNzululwazi yeDatha. Ndatsho ukuba ukhetho lusebenza, ngaphandle kokuba ngumbono weKhompyutha / Ukufunda ngokuNzulu ukusuka kusasa ukuya kusihlwa. Uye waqinisekisa ukuba akukho zichaso kwicala lakhe.
Ndithumele i-resume yam kwaye wayilayisha kwi-portal yangaphakathi yeLyft. Emva koko, umqeshwa wandibiza ukuba ndivule i-CV yam kwaye ndifunde ngakumbi ngam. Ukususela kumagama okuqala, kwacaca ukuba kuye oku kwakusesikweni, kuba kwakucacile kuye ngokuqala kwakhe kwakhona ukuba "andiyonto yeLyft." Ndicinga ukuba emva koko i-resume yam yangena emgqomeni wenkunkuma.
Ngalo lonke eli xesha, ngelixa ndidliwano-ndlebe, ndaxubusha ngeentsilelo zam kunye nokuhla kwe-ODS kwaye abafana bandinika impendulo kwaye bandinceda ngandlela zonke ngeengcebiso, nangona, njengesiqhelo, kwakukho ukunyathela okunobungane apho.
Omnye wamalungu e-ODS wanikezela ngokundidibanisa nomhlobo wakhe, onguMlawuli wezobuNjineli eLyft. Hayi ngokukhawuleza ukuthetha kunokwenza. Ndize eLyft ngesidlo sasemini, kwaye ngaphandle kwalo mhlobo kukho iNtloko yeSayensi yeDatha kunye nomphathi weMveliso othanda kakhulu i-Deep Learning. Nge lunch sancokola phezu kuka DL. Kwaye ekubeni ndiqeqeshe uthungelwano lwe-24/7 kwisiqingatha sonyaka, ndifunde i-cubic metres yoncwadi, kwaye ndiqhube imisebenzi kwi-Kaggle kunye neziphumo ezicacileyo ezingaphezulu okanye ezingaphantsi, ndiyakwazi ukuthetha nge-Deep Learning ngeeyure, zombini ngokumalunga namanqaku amatsha kwaye ubuchule obusebenzayo .
Emva kwesidlo sasemini bandijonga kwaye bathi - kucacile kwangoko ukuba umhle, uyafuna ukuthetha nathi? Ngapha koko, bongeze ukuba kucacile kum ukuba ukuthatha ekhaya + isikrini setekhnoloji sinokutsitywa. Kwaye ukuba ndiya kumenywa ngokukhawuleza ukuba kwi-site. Ndavuma.
Emva koko, lo mqeshwa wandibiza ukuba ndicwangcise udliwano-ndlebe kwindawo, yaye akazange aneliseke. Wambombozela into yokungatsibi phezu kwentloko yakho.
Yeza. Udliwano-ndlebe kwindawo. Iiyure ezintlanu zokunxibelelana nabantu abohlukeneyo. Kwakungekho mbuzo omnye malunga nokuFunda okuNzulu, okanye malunga nokufunda komatshini ngokomgaqo. Kuba akukho Mfundo iNzululwazi / uMbono weKhompyutha, ke andinamdla. Ngaloo ndlela, iziphumo zodliwano-ndlebe zazi-orthogonal.
Lo mceli ufowuna kwaye uthi - halala, uye wagqitha kudliwanondlebe lwesibini kwindawo. Yonke le nto iyamangalisa. Yintoni eyesibini kwindawo? Andizange ndiyive into enjalo. Ndiye e. Kukho iiyure ezimbalwa apho, ngeli xesha malunga nokufunda koomatshini besintu. Kukngcono Okok. Kodwa nangoku akukho mdla.
Umcebisi ufowuna ngokuvuyisana naye ukuba ndiphumelele udliwano-ndlebe lwesithathu kwindawo kwaye ndifunga ukuba le iya kuba yeyokugqibela. Ndiye ndayoyibona ndafika kukho iDL ne CV zombini.
Ndandinomntu wangaphambili kwiinyanga ezininzi owandixelela ukuba akusayi kubakho mnikelo. Andizi kuqeqesha kwizakhono zobugcisa, kodwa kwizinto ezithambileyo. Hayi kwicala elithambileyo, kodwa kwinto yokuba isikhundla siya kuvalwa okanye ukuba inkampani ayikaqeshwa, kodwa ivavanya nje imarike kunye nenqanaba labaviwa.
Phakathi ku-Agasti. Ndasela beer okay. Iingcinga ezimnyama. Iinyanga ezi-8 zidlulile kwaye akukho mnikelo. Kuhle ukwenza ubugcisa phantsi kwebhiya, ngakumbi ukuba ubuchule buyinto engaqhelekanga. Kuza ingcamango engqondweni yam. Ndiyabelana ngayo no-Alexey Shvets, ngelo xesha wayeyi-postdoc kwi-MIT.
Kuthekani ukuba uthatha inkomfa ye-DL/CV ekufutshane, jonga ukhuphiswano olubanjwa njengenxalenye yalo, uqeqeshe into kwaye ungenise? Kuba zonke iingcaphephe apho zakha imisebenzi yazo kule nto kwaye bezisenza oku kangangeenyanga ezininzi okanye iminyaka, asinalo ithuba. Kodwa akoyiki. Senza ukungeniswa okunentsingiselo, ukubhabha kwindawo yokugqibela, kwaye emva koko sibhala i-pre-print okanye inqaku malunga nendlela esingafani ngayo nabanye abantu kwaye sithethe ngesigqibo sethu. Kwaye inqaku sele liku-LinkedIn nakwi-resume yakho.
Oko kukuthi, kubonakala kufanelekile kwaye kukho amagama angundoqo achanekileyo kwi-resume, ekufuneka inyuse kancinane amathuba okufikelela kwi-tech screen. Ikhowudi kunye nokungeniswa kum, iitekisi ezivela ku-Alexey. Umdlalo, kunjalo, kodwa kutheni kungenjalo?
Hayi ngokukhawuleza ukuthetha kunokwenza. Eyona nkomfa ikufutshane esiye sajonga kuyo yayiyi-MICCAI kwaye bekukho ukhuphiswano apho. Sibethe eyokuqala. Ibiyi . Umsebenzi unemisetyenzana emi-3. Kwakusele iintsuku ezisi-8 ngaphambi komhla wokugqibela. Ndavuka ekuseni, kodwa andizange ndiyilahle loo mbono. Ndithathe iipayipi zam eKaggle kwaye ndazitshintsha ukusuka kwidatha yesathelayithi ukuya kwidatha yezonyango. 'fit_predict'. U-Alexey ulungiselele inkcazo yamaphepha amabini ezisombululo kwingxaki nganye, kwaye siyithumele. Ulungile. Kwithiyori, unokukhupha umoya. Kodwa kwavela ukuba kukho omnye umsebenzi weworkshop efanayo () ngemisetyenzana emithathu engaphantsi kwaye umhla wakhe wokugqibela unyuswe ngeentsuku ezi-4, oko kukuthi, singenza 'fit_predict' apho kwaye siyithumele. Yiloo nto esayenzayo.
Ngokungafaniyo noKaggle, olu khuphiswano lwalunezabo iinkcukacha zemfundo:
- Akukho bhodi yabaphambili. Iziphakamiso zithunyelwa nge-imeyile.
- Uya kususwa ukuba ummeli weqela akezi ukuza kunika isisombululo kwinkomfa eWorkshop.
- Indawo yakho kwibhodi yabaphambili iyaziwa kuphela ngexesha lenkomfa. Uhlobo lwedrama yezemfundo.
Ingqungquthela ye-MICCAI 2017 yabanjwa kwisixeko saseQuebec. Ukunyaniseka, ngoSeptemba ndandiqala ukuvutha, ngoko ke umbono wokuthatha iveki emsebenzini kwaye ndiye eCanada wawubonakala unomdla.
Yeza kwinkomfa. Ndifike kule Workshop, andazi mntu, ndihleli ekoneni. Wonke umntu uyazi omnye komnye, bayanxibelelana, balahla amagama ahlakaniphile onyango. Uphononongo lokhuphiswano lokuqala. Abathathi-nxaxheba bathetha kwaye bathethe ngezigqibo zabo. Kupholile apho, kunye nokumenyezela. Ixesha lam. Kwaye ngandlela ithile ndineentloni. Bayisombulule ingxaki, basebenza kuyo, isayensi ehambele phambili, kwaye "sifanelekile_ingqikelelo" ukusuka kuphuhliso lwangaphambili, hayi kwisayensi, kodwa ukomeleza ukuqhubeka kwethu.
Waphuma wathi nam andiyoncutshe kwezamayeza, wacela uxolo ngokuchitha ixesha labo, wandibonisa isilayidi esinye esinesisombululo. Ndehla ndaya eholweni.
Babhengeza umsebenzi ongaphantsi wokuqala - singowokuqala, kwaye ngomda.
Eyesibini neyesithathu iyabhengezwa.
Babhengeza eyesithathu - kwakhona kuqala kwaye kwakhona ngokukhokela.
Ngokubanzi ngowokuqala.
Abanye kubaphulaphuli bayancuma bandijonge ngembeko. Abanye, abo babegqalwa njengeengcali kulo msebenzi, baphumelele isibonelelo kulo msebenzi kwaye bebesenza oku iminyaka emininzi, babenembonakalo egqwethekileyo ebusweni babo.
Okulandelayo ngumsebenzi wesibini, lowo unemisebenzi engaphantsi kwemithathu kwaye oye wasiwa phambili ngeentsuku ezine.
Apha nam ndacela uxolo ndabonisa isilayidi sethu esinye kwakhona.
Ibali elifanayo. Isibini sokuqala, esinye isibini, esiqhelekileyo kuqala.
Ndicinga ukuba eli lixesha lokuqala kwimbali ukuba i-arhente yokuqokelela iphumelele ukhuphiswano lwemifanekiso yonyango.
Kwaye ngoku ndimi eqongeni, bandinika uhlobo oluthile lwediploma kwaye ndiqhutyelwe. Inokwenzeka njani loo nto? Ezi zifundiswa zichitha imali yabarhafi, zisebenzela ukwenza lula kunye nokuphucula umgangatho womsebenzi koogqirha, oko kukuthi, kwithiyori, iminyaka yam yokuphila, kunye nomzimba othile wakrazula bonke abasebenzi bezemfundo kwiflegi yaseBritani ngeengokuhlwa ezimbalwa.
Ibhonasi kule nto kukuba kwamanye amaqela, abafundi abaphumeleleyo abaye basebenza kule misebenzi iinyanga ezininzi baya kuba ne-resume ekhangayo kwi-HR, oko kukuthi, baya kufika ngokulula kwi-tech screen. Kwaye phambi kwamehlo am kukho i-imeyile esanda kufunyanwa:
A Googler recently referred you for the Research Scientist, Google Brain (United States) role. We carefully reviewed your background and experience and decided not to proceed with your application at this time.Ngokubanzi, kanye eqongeni, ndibuza abaphulaphuli: βNgaba ukho umntu owaziyo apho ndisebenza khona?β Omnye wabaququzeleli bolu khuphiswano wayesazi- wasebenzisa uGoogle ukuba yintoni na iTrueAccord. Ezinye azikho. Ndiqhubekeka: βNdisebenzela iziko lokuqokelela izinto, kwaye emsebenzini andenzi kwiComputer Vision okanye iDeep Learning. Kwaye ngeendlela ezininzi, oku kuyenzeka ngenxa yokuba isebe le-HR likaGoogle Brain kunye ne-Deepmind lihluza i-resume yam, lingandiniki ithuba lokubonisa uqeqesho lobugcisa. "
Banikezela ngesatifikethi, ikhefu. Iqela lezifundiswa linditsalela ecaleni. Kwavela ukuba eli liqela lezeMpilo eline-Deepmind. Babechukumisekile kangangokuba bakhawuleza bafuna ukuthetha nam malunga nesithuba seNjineli yoPhando kwiqela labo. (Siye sathetha. Le ncoko yahlala kwiinyanga ze-6, ndadlula ekhaya, imibuzo, kodwa ndanqunyulwa kwisikrini se-tech. Iinyanga ze-6 ukususela ekuqaleni konxibelelwano ukuya kwi-tech screen ixesha elide. Ukulinda ixesha elide kunika incasa. Injineli yoPhando e-Deepmind eLondon, ngokuchasene nemvelaphi ye-TrueAccord bekukho inyathelo eliqinileyo, kodwa ngokuchasene nemvelaphi yesikhundla sam ngoku linyathelo lokuhla.Ukususela kumgama weminyaka emibini edlulileyo ukusukela ngoko, kulungile. ukuba akunjalo.)
isiphelo
Kwangelo xesha linye, ndafumana uncedo oluvela kwaLyft, endalwamkelayo.
Ngokusekwe kwiziphumo zolu khuphiswano mabini kunye ne-MICCAI, oku kulandelayo kwapapashwa:
Oko kukuthi, ngaphandle kobugqwirha bombono, ukongeza amanqaku okongezwayo kunye neeprinta kwangaphambili ngokhuphiswano kusebenza kakuhle. Kwaye kwiminyaka elandelayo siye sayenza mandundu ngakumbi.
Bendisebenza eLyft kule minyaka imbalwa idlulileyo ndisenza iComputer Vision/Deep Learning for Self Driving cars. Oko kukuthi, ndiyifumene into ebendiyifuna. Kunye nemisebenzi, kunye nenkampani ekwinqanaba eliphezulu, nabalingane abomeleleyo, nazo zonke ezinye izinto ezilungileyo.
Kwezi nyanga, bendinonxibelelwano kunye neenkampani ezinkulu zikaGoogle, i-Facebook, i-Uber, i-LinkedIn, kunye nolwandle lokuqalwa kobukhulu obahlukeneyo.
Kwakubuhlungu kuzo zonke ezi nyanga. Indalo iphela ikuxelela into engemnandanga yonke imihla. Ukuchaswa rhoqo, ukwenza iimpazamo rhoqo kwaye konke oku kufakwe kwimvakalelo eqhubekayo yokungabi nathemba. Akukho ziqinisekiso zokuba uya kuphumelela, kodwa kukho imvakalelo yokuba usisidenge. Indikhumbuza kakhulu indlela endazama ngayo ukufumana umsebenzi kanye emva kweyunivesithi.
Ndicinga ukuba abaninzi babefuna umsebenzi entlanjeni yaye yonke into yayilula kubo. Iqhinga, ngokombono wam, yile. Ukuba ukhangela umsebenzi kwintsimi oyiqondayo, ube namava amaninzi, kwaye i-resume yakho ithi okufanayo, akukho ngxaki. Ndayithatha ndayifumana. Kukho izithuba ezininzi.
Kodwa ukuba ufuna umsebenzi kwintsimi entsha kuwe, oko kukuthi, xa kungekho lwazi, akukho nxibelelwano kunye ne-resume yakho ithetha into engalunganga - okwangoku yonke into iba yinto enomdla kakhulu.
Okwangoku, abaqeshwa bandibhalela rhoqo kwaye banikezela ukwenza into efanayo endiyenzayo ngoku, kodwa kwinkampani eyahlukileyo. Ngenene lixesha lokutshintsha imisebenzi. Kodwa akukho sizathu sokuya kwenza into esele ndilungile kuyo. Yantoni?
Kodwa into endiyifunayo, andinalo ulwazi okanye imigca kwi-resume yam. Makhe sibone ukuba yonke le nto iphela njani. Ukuba yonke into ihamba kakuhle, ndiza kubhala inxalenye elandelayo. π
umthombo: www.habr.com