Lesi sithombe ngu-Arthur Kuzin (), ifingqa ngokunembile okuqukethwe kokuthunyelwe kwebhulogi. Ngenxa yalokho, ukulandisa okulandelayo kufanele kubonakale kufana nendaba yangoLwesihlanu kunokuthile okuwusizo kakhulu nobuchwepheshe. Ngaphezu kwalokho, kuyaphawuleka ukuthi umbhalo ucebile ngamagama esiNgisi. Angazi ukuthi ezinye zazo ngingazihumusha kanjani ngendlela efanele, futhi angifuni nje ukuhumusha ezinye zazo.
Ukuthi uguquko olusuka endaweni yezemfundo luye endaweni yezimboni lwenzeka kanjani ivezwa eziqephuni ezimbili zokuqala. Kulokhu, ingxoxo izoba ngokuthi kwenzekeni ngokulandelayo.
KwakunguJanuwari 2017. Ngaleso sikhathi, nganginesipiliyoni somsebenzi esingaphezudlwana konyaka futhi ngasebenza eSan Francisco enkampanini njengo-Sr. Usosayensi Wedatha.
I-TrueAccord iyisiqalo sokuqoqwa kwezikweletu. Ngamagama alula - i-ejensi yokuqoqa. Abaqoqi ngokuvamile babiza kakhulu. Sithumele ama-imeyili amaningi, kodwa senza amakholi ambalwa. I-imeyili ngayinye iholele kuwebhusayithi yenkampani, lapho okweletayo anikezwa isaphulelo esikweletini, futhi waze wavunyelwa ukukhokha ngezitolimende. Le ndlela iholele ekuqoqweni okungcono, kwavunyelwa ukukala nokuchayeka kancane emacaleni.
Inkampani yayijwayelekile. Umkhiqizo ucacile. Abaphathi baphilile. Indawo yinhle.
Ngokwesilinganiso, abantu basesigodini basebenza endaweni eyodwa cishe unyaka nesigamu. Okusho ukuthi, noma iyiphi inkampani oyisebenzelayo iyisinyathelo esincane nje. Kulesi sinyathelo uzonyusa imali, uthole ulwazi olusha, amakhono, ukuxhumana nemigqa ku-resume yakho. Ngemva kwalokhu kuba khona ukudlulela esinyathelweni esilandelayo.
Kwa-TrueAccord uqobo, ngaba nesandla ekunamathiseleni izinhlelo zokuncoma ezincwadini zezindaba ze-imeyili, kanye nasekubekeni phambili izingcingo. Umthelela uyaqondakala futhi ukalwe kahle ngamadola ngokuhlolwa kwe-A/B. Njengoba wawungekho umshini wokufunda ngaphambi kokufika kwami, umthelela womsebenzi wami wawungemubi. Futhi, kulula kakhulu ukuthuthukisa okuthile kunokuthile osekuthuthukiswe kakhulu.
Ngemva kwezinyanga eziyisithupha zokusebenza kulezi zinhlelo, baze bakhuphula iholo lami eliyisisekelo lisuka ku-$150k laya ku-$163k. Emphakathini kukhona i-meme elinganiselwa ku-$163k. Ikhula ngemilenze isuka lapha.
Konke lokhu kwakumangalisa, kodwa akuzange kuholele ndawo, noma kuholele, kodwa hhayi lapho.
Ngiyihlonipha kakhulu i-TrueAccord, kokubili inkampani kanye nezinsizwa engisebenze nazo lapho. Ngifunde okuningi kubo, kodwa angizange ngifune ukusebenza isikhathi eside ezinhlelweni zokuncoma esikhungweni sokuqoqa. Kusukela kulesi sinyathelo bekufanele unyathele kwenye indawo. Uma kungenjalo phambili nangaphezulu, okungenani maceleni.
Yini engingayithandanga?
- Ngokombono wokufunda komshini, izinkinga azizange zingijabulise. Bengifuna okuthile okusemfashinini, kobusha, okungukuthi, Ukufunda Okujulile, Umbono Wekhompyutha, into eseduze nesayensi noma okungenani ku-alchemy.
- Isiqalo, kanye ne-ejensi yokuqoqa, inezinkinga zokuqasha abasebenzi abaqeqesheke kakhulu. Njengesiqalo, ayikwazi ukukhokha kakhulu. Kodwa njenge-ejensi yokuqoqa, ilahlekelwa isimo. Ukukhuluma nje, uma intombazane osukwini ebuza lapho usebenza? Impendulo yakho: "Ku-Google" izwakala kangcono kune-"ejensi yokuqoqa." Kwangikhathaza kancane ukuthi kubangani bami abasebenza kwa-Google naku-Facebook, ngokungafani nami, igama lenkampani yabo lavula iminyango efana nokuthi: ungamenywa engqungqutheleni noma umhlangano njengesikhulumi, noma abantu abathakazelisa kakhulu babhale ku-LinkedIn. ngesithembiso sokuhlangana futhi nixoxe niphuze ingilazi yetiye. Ngikuthanda kakhulu ukuxhumana nabantu engingabazi mathupha. Ngakho-ke uma uhlala e-San Francisco, ungangabazi ukubhala - asihambe siyophuza ikhofi futhi sikhulume.
- Ngaphezu kwami, inkampani yayinososayensi abathathu beDatha. Bengisebenza ekufundeni ngomshini, futhi bebesebenza kweminye imisebenzi ye-Data Science, evamile kunoma yikuphi ukuqalisa kusuka lapha kuya kusasa. Ngenxa yalokho, abazange bakuqonde ngempela ukufunda ngomshini. Kodwa ukuze ngikhule, ngidinga ukuxhumana nothile, ngixoxe ngezihloko nentuthuko yakamuva, futhi ngicele iseluleko, ekugcineni.
Yini eyayitholakala?
- Imfundo: i-physics, hhayi isayensi yekhompyutha.
- Ulimi lokuhlela kuphela engangilwazi kwakuyiPython. Kube nomuzwa wokuthi ngangidinga ukushintshela ku-C++, kodwa ngangingakwazi ukuzihambela.
- Unyaka nesigamu somsebenzi embonini. Ngaphezu kwalokho, emsebenzini angizange ngifunde i-Deep Learning noma i-Computer Vision.
- Ayikho neyodwa indatshana ethi Ukufunda Okujulile / Umbono Wekhompyutha ku-resume.
- Kube khona impumelelo ye-Kaggle Master.
Ubufunani?
- Isikhundla lapho kuyodingeka ukuqeqesha amanethiwekhi amaningi, futhi eduze nombono wekhompyutha.
- Kungcono uma kuyinkampani enkulu njenge-Google, Tesla, Facebook, Uber, LinkedIn, njll. Nakuba ku-pinch, ukuqala kuzokwenza.
- Akumele ngibe umpetha wokufunda ngomshini omkhulu eqenjini. Bekunesidingo esikhulu samaqabane aphezulu, abeluleki kanye nazo zonke izinhlobo zokuxhumana, obekufanele kusheshiswe uhlelo lokufunda.
- Ngemva kokufunda okuthunyelwe kwebhulogi mayelana nokuthi abathweswe iziqu abangenawo ulwazi lwezimboni banesamba sesinxephezelo esingu-$300-500k ngonyaka, bengifuna ukungena ebangeni elifanayo. Akukhona ukuthi lokhu kungikhathaza kakhulu, kodwa njengoba bethi lokhu kuyinto evamile, kodwa nginakho okuncane, khona-ke lokhu kuyisignali.
Lo msebenzi wawubonakala ungaxazululeka ngokuphelele, nakuba kungenjalo ngomqondo wokuthi ungakwazi ukugxumela kunoma iyiphi inkampani, kodwa kunalokho ukuthi uma ubulawa indlala, konke kuzohamba kahle. Okusho ukuthi, amashumi noma amakhulu emizamo, kanye nobuhlungu obuvela kukho konke ukwehluleka kanye nakho konke ukwenqatshwa, kufanele kusetshenziselwe ukulola ukugxila, ukuthuthukisa inkumbulo nokwelula usuku emahoreni angu-36.
Ngalungisa kabusha i-resume yami, ngaqala ukuyithumela, futhi ngiya ezingxoxweni. Ngadlula iningi labo esigabeni sokuxhumana no-HR. Abantu abaningi babedinga i-C++, kodwa ngangingazi, futhi nganginomuzwa onamandla wokuthi ngeke ngibe nesithakazelo kakhulu ezikhundleni ezidinga i-C++.
Kuyaphawuleka ukuthi ngasikhathi sinye kwaba noshintsho lwesigaba ohlotsheni lwemiqhudelwano ku-Kaggle. Ngaphambi kuka-2017 kwakunedatha yethebula eminingi kanye nedatha yezithombe ezingavamile, kodwa kusukela ngo-2017 kwakunemisebenzi eminingi yombono wekhompyutha.
Ukuphila kugeleze ngale ndlela elandelayo:
- Sebenza emini.
- Lapho tech screen / onsite uthatha isikhathi off.
- Kusihlwa nezimpelasonto Kaggle + izihloko / izincwadi / okuthunyelwe kwebhulogi
Ukuphela kuka-2016 kwaphawulwa ukuthi ngijoyine umphakathi , okwenza izinto eziningi zaba lula. Kukhona abafana abaningi emphakathini abanolwazi olucebile lwezimboni, okusivumele ukuthi sibuze imibuzo eminingi eyisiphukuphuku futhi sithole izimpendulo eziningi ezihlakaniphile. Kukhona futhi ochwepheshe abaningi abanamandla kakhulu bokufunda umshini bayo yonke imivimbo, okuthe, ngokungalindelekile, kwangivumela, nge-ODS, ukuthi ngivale udaba ngokuxhumana okujulile okujwayelekile mayelana Nesayensi Yedatha. Kuze kube manje, ngokwe-ML, i-ODS inginika izikhathi eziningi ngaphezu kwalokho engikuthola emsebenzini.
Hhayi-ke, njengenjwayelo, i-ODS inongoti abenele emiqhudelwaneni ye-Kaggle nakwamanye amasayithi. Ukuxazulula izinkinga eqenjini kumnandi kakhulu futhi kukhiqiza, ngakho ngamahlaya, inhlamba, ama-memes nokunye ukuzijabulisa okungenangqondo, siqale ukuxazulula izinkinga ngamunye ngamunye.
Ngo-March 2017 - eqenjini noSerega Mushinsky - indawo yesithathu . Indondo yegolide ku-Kaggle + $20k kwababili. Kulo msebenzi, sebenza ngezithombe zesathelayithi + ukuhlukaniswa kanambambili nge-UNet kwathuthukiswa.
Ngawo lowo Mashi, ngaya kwinhlolokhono e-NVidia neqembu le-Self Driving. Ngizabalaze ngempela ngemibuzo mayelana nokutholwa Kwento. Lwalungekho ulwazi olwanele.
Ngenhlanhla, ngesikhathi esifanayo, kwaqala umncintiswano Wokutholwa Kwento ezithombeni zasemoyeni ezivela ku-DSTL efanayo. UNkulunkulu ngokwakhe wayala ukuxazulula inkinga nokuthuthukisa. Inyanga yakusihlwa nangezimpelasonto. Ngalucosha ulwazi ngaqeda isibili. Lo mncintiswano wawunokwehluka okuthakazelisayo emithethweni, okwaholela ekubeni ngiboniswe eRussia eziteshini zikahulumeni hhayi zikahulumeni. Ngagibela , kanye nenqwaba yezincwadi eziphrintiwe nezishicilelwe ku-inthanethi. I-Mail Ru Group ithole i-PR enhle kancane ngezindleko zami kanye nemali yayo, futhi isayensi eyisisekelo eRussia yanothiswa ngamaphawundi ayi-12000. Njengenjwayelo, kwakubhalwe ngalesi sihloko . Iya lapho ukuze uthole imininingwane.
Ngaso leso sikhathi, umqashi kaTesla wangithinta futhi wathembisa ukukhuluma ngesikhundla seComputer Vision. Ngavuma. Ngidlulele ekhaya, izikrini ezimbili zobuchwepheshe, inhlolokhono yasendaweni, futhi ngaba nengxoxo emnandi kakhulu no-Andrei Karpathy, owayesanda kuqashwa eTesla njengoMqondisi we-AI. Isigaba esilandelayo ukuhlola ingemuva. Ngemva kwalokho, u-Elon Musk kwadingeka asigunyaze mathupha isicelo sami. U-Tesla unesivumelwano esiqinile sokungadaluli (NDA).
Angizange ngiphumelele isheke le-backgound. Umqashi uthe ngixoxa kakhulu ku-inthanethi, ngiphula i-NDA. Ukuphela kwendawo lapho ngasho khona okuthile ngenhlolokhono e-Tesla kwakuyi-ODS, ngakho-ke inkolelo-mbono yamanje ukuthi othile uthathe isithombe-skrini wabhalela u-HR e-Tesla, futhi ngasuswa emncintiswaneni ngenxa yengozi. Kwakuyihlazo ke. Manje ngiyajabula ukuthi akuphumelelanga. Isikhundla sami samanje singcono kakhulu, nakuba kungajabulisa kakhulu ukusebenza no-Andrey.
Ngokushesha ngemva kwalokho, ngangenela umncintiswano wezithombe zesathelayithi ku-Kaggle kusuka . Inkinga yayilula futhi idina ngokwedlulele; akekho owayefuna ukuyixazulula, kodwa wonke umuntu wayefuna indondo yegolide yamahhala noma imali yomklomelo. Ngakho-ke, nethimba le-Kaggle Masters labantu abangu-7, savumelana ukuthi sizophonsa insimbi. Siqeqeshe amanethiwekhi angu-480 kumodi ye-‘fit_predict’ futhi senza iqoqo elinezitezi ezintathu ngawo. Saqeda endaweni yesikhombisa. . Ngendlela, uJeremy Howard, owaziwa kakhulu njengomdali uqede 23.
Ngemva kokuphela komncintiswano, ngomngane owayesebenza kwa-AdRoll, ngihlele i-Meetup emagcekeni abo. Abamele i-Planet Labs bakhulume lapho mayelana nokuthi inhlangano yomncintiswano kanye nokumaka idatha kwakubukeka kanjani ngasohlangothini lwabo. UWendy Kwan, osebenza eKaggle nobengamele lo mncintiswano, ukhulume ngendlela awubone ngayo. Ngichaze isisombululo sethu, amaqhinga, amasu kanye nemininingwane yobuchwepheshe. Izingxenye ezimbili kwezintathu zezilaleli zaxazulula le nkinga, ngakho imibuzo yabuzwa iphuzu futhi ngokuvamile konke kwakupholile. UJeremy Howard naye wayelapho. Kuvele ukuthi uqede endaweni ka-23 ngenxa yokuthi ubengazi ukuthi uzobekwa kanjani umfuziselo futhi ubengayazi nhlobo le ndlela yokwakha ama-ensemble.
Ukuhlangana esigodini ekufundeni ngomshini kuhluke kakhulu ekuhlanganeni eMoscow. Njengomthetho, ukuhlangana esigodini kungaphansi. Kodwa okwethu kwahamba kahle. Ngeshwa, umngane obekufanele acindezele inkinobho futhi aqophe yonke into akazange acindezele inkinobho :)
Ngemva kwalokho, ngamenywa ukuba ngikhulume nesikhundla sikaNjiniyela Wokufunda Okujulile kuyona le Planet Labs, futhi ngokushesha ngasendaweni. Angizange ngiyidlulise. Amagama okwenqaba ukuthi alukho ulwazi olwanele ekuFundeni Okujulile.
Ngiklame umncintiswano ngamunye njengephrojekthi ku . Ngenkinga yeDSTL sabhala futhi uyithumele ku-arxiv. Hhayi isihloko, kodwa namanje isinkwa. Ngiphinde ngincome kubo bonke abanye ukuthi bakhulise iphrofayili yabo ye-LinkedIn ngemiqhudelwano, izindatshana, amakhono, nokunye. Kukhona ukuhlobana okuhle phakathi kokuthi mangaki amagama angukhiye onawo kuphrofayela yakho ye-LinkedIn nokuthi abantu bakuthumelela imilayezo kangaki.
Uma ebusika nasentwasahlobo nganginobuchwepheshe kakhulu, ngakho-ke ngo-August ngaba nakho kokubili ulwazi nokuzethemba.
Ekupheleni kukaJulayi, insizwa eyayisebenza njengomphathi we-Data Science e-Lyft yangithinta ku-LinkedIn futhi yangimema ukuthi siphuze ikhofi futhi sixoxe ngempilo, mayelana ne-Lyft, mayelana ne-TrueAccord. Saxoxa. Ucele ukuxoxisana nethimba lakhe ngesikhundla sikaData Scientist. Ngithe inketho iyasebenza, inqobo nje uma kuyiComputer Vision / Deep Learning kusukela ekuseni kuze kube kusihlwa. Uqinisekise ukuthi akukho ukuphikisa kwakhe.
Ngithumele i-resume yami futhi wayilayisha ku-portal yangaphakathi ye-Lyft. Ngemva kwalokho, umqashi wangibiza ukuba ngivule incwadi yami futhi ngithole okwengeziwe ngami. Kusukela emazwini okuqala, kwaba sobala ukuthi kuye lokhu kwakuwumkhuba, ngoba kwakusobala kuye kusukela eqala kabusha ukuthi "Angiyona into yeLyft." Ngicabanga ukuthi emva kwalokho i-resume yami yangena emgqonyeni kadoti.
Sonke lesi sikhathi, ngenkathi ngisaxoxwa, ngixoxile ngokuhluleka kwami nokwehla kwe-ODS futhi abafana banginika impendulo futhi bangisiza ngazo zonke izindlela ngezeluleko, nakuba, njengenjwayelo, kwakukhona nokuhamba ngezinyawo okunobungane lapho.
Elinye lamalungu e-ODS lacela ukungixhumanisa nomngane wakhe, onguMqondisi Wezobunjiniyela e-Lyft. Kulula ukusho kunokwenza. Ngiza e-Lyft ngizodla isidlo sasemini, futhi ngaphandle kwalo mngane kukhona neNhloko Yesayensi Yedatha kanye nomphathi woMkhiqizo ongumlandeli omkhulu we-Deep Learning. Ngesidlo sasemini saxoxa ngo-DL. Futhi njengoba ngiqeqeshe amanethiwekhi 24/7 isigamu sonyaka, ngifunda cubic metres yezincwadi, futhi ngenza imisebenzi ku-Kaggle ngemiphumela ecacile noma ecacile, ngikwazi ukukhuluma ngokufunda okujulile amahora, kokubili mayelana nezihloko ezintsha kanye amasu asebenzayo .
Ngemva kwesidlo sasemini bangibheka bathi - kusobala ngokushesha ukuthi umuhle, uyafuna ukukhuluma nathi? Ngaphezu kwalokho, bangeze ukuthi kuyacaca kimi ukuthi ukuthatha isikrini sasekhaya + sobuchwepheshe singeqiwa. Futhi ukuthi ngizomenywa ngokushesha esizeni. Ngavuma.
Ngemva kwalokho, lowo owayeqasha wangibiza ukuze ngihlele inhlolokhono endaweni, futhi akazange aneliseke. Wabubula okuthile ngokungagxumi phezu kwekhanda lakho.
Ifikile. Ingxoxo yasendaweni. Amahora amahlanu okuxhumana nabantu abahlukene. Bekungekho nowodwa umbuzo mayelana ne-Deep Learning, noma mayelana nokufunda komshini ngokomgomo. Njengoba kungekho Ukufunda Okujulile / Umbono Wekhompyutha, anginantshisekelo. Ngakho, imiphumela yenhlolokhono yayiyi-orthogonal.
Lo mqashi uyafona futhi athi - siyakuhalalisela, uphumelele kwinhlolokhono yesibili endaweni. Konke lokhu kuyamangaza. Ithini eyesibili endaweni? Angikaze ngiyizwe into enjalo. Ngahamba. Kukhona amahora ambalwa lapho, kulokhu konke mayelana nokufunda komshini okuvamile. Lokho kungcono. Kodwa namanje akuthakazelisi.
Umqashi ufona ehalalisela ngokuthi ngiphumelele inhlolokhono yesithathu futhi uyafunga ukuthi kuzoba okokugcina. Ngaya koyibona futhi kwakukhona i-DL neCV.
Ngibe nowangaphambili izinyanga eziningi owangitshela ukuthi ngeke ngibe khona. Ngeke ngiziqeqeshe ngamakhono ezobuchwepheshe, kodwa kulawo athambile. Hhayi ohlangothini oluthambile, kodwa eqinisweni lokuthi isikhundla sizovalwa noma ukuthi inkampani ayikaqashi, kodwa imane ihlola imakethe kanye nezinga labazokhethwa.
Maphakathi no-Agasti. Ngiphuze ubhiya kulungile. Imicabango emnyama. Izinyanga eziyisi-8 sezidlulile futhi akukanikelwa lutho. Kuhle ukwenza ubuciko ngaphansi kobhiya, ikakhulukazi uma ubuciko buxakile. Kufike umqondo emqondweni wami. Ngihlanganyela no-Alexey Shvets, ngaleso sikhathi owayeyi-postdoc e-MIT.
Kuthiwani uma uthatha ingqungquthela eseduze ye-DL/CV, ubukele imincintiswano ebanjwa njengengxenye yayo, uqeqeshe okuthile bese uhambisa? Njengoba bonke ochwepheshe bakha imisebenzi yabo kulokhu futhi sebenezinyanga eziningi noma iminyaka bekwenza lokhu, asinalo ithuba. Kodwa akwethusi. Senza isethulo esiphusile, sindize siye endaweni yokugcina, futhi ngemva kwalokho sibhala i-pre-print noma i-athikili mayelana nokuthi sifana kanjani nabanye abantu futhi sikhulume ngesinqumo sethu. Futhi indatshana isivele iku-LinkedIn futhi iku-resume yakho.
Okusho ukuthi, kubonakala sengathi kufanelekile futhi kunamagama angukhiye alungile ku-resume, okufanele ikhulise kancane amathuba okufinyelela esikrinini sobuchwepheshe. Ikhodi nokuthunyelwe okuvela kimi, imibhalo evela ku-Alexey. Umdlalo, kunjalo, kodwa kungani kungenjalo?
Kulula ukusho kunokwenza. Ingqungquthela eseduze esiyisebenzise ku-google bekuyi-MICCAI futhi bekukhona imiqhudelwano lapho. Sishaye eyokuqala. Bekuyi . Umsebenzi unemisebenzi engaphansi emi-3. Bekusele izinsuku eziyisi-8 ngaphambi komnqamulajuqu. Ngaquleka ekuseni, kodwa angizange ngiwulahle umqondo. Ngathatha amapayipi ami e-Kaggle ngawashintsha esuka kudatha yesathelayithi ngawayisa kwezokwelapha. 'fit_predict'. U-Alexey ulungiselele incazelo enamakhasi amabili ezisombululo zenkinga ngayinye, futhi sayithumela. Ilungile. Ngombono, ungakwazi ukukhipha umoya. Kodwa kwavela ukuthi kwakukhona omunye umsebenzi weworkshop efanayo () ngemisebenzi engaphansi emithathu nokuthi umnqamulajuqu wakhe wenyuswa ngezinsuku ezi-4, okungukuthi, singenza okuthi ‘fit_predict’ lapho futhi sikuthumele. Yilokho esakwenza.
Ngokungafani noKaggle, le miqhudelwano yayinemininingwane yayo yezemfundo:
- Alikho ibhodi labaphambili. Iziphakamiso zithunyelwa nge-imeyili.
- Uzosuswa uma omele ithimba engezi ukuzokwethula isisombululo engqungqutheleni eseWorkshop.
- Indawo yakho kubhodi yabaphambili yaziwa kuphela phakathi nenkomfa. Uhlobo lwedrama yezemfundo.
Ingqungquthela ye-MICCAI 2017 ibibanjelwe eQuebec City. Uma ngikhuluma iqiniso, ngoSepthemba ngase ngiqala ukukhathala, ngakho umqondo wokuthatha isonto lonke emsebenzini futhi ngibhekise amabombo eCanada wabukeka uthakazelisa.
Weza engqungqutheleni. Ngize kule Workshop, angazi muntu, ngihlezi ekhoneni. Wonke umuntu uyazana, bayaxhumana, baphonsa amagama ezokwelapha ahlakaniphile. Ukubuyekezwa komncintiswano wokuqala. Abahlanganyeli bakhuluma futhi bakhulume ngezinqumo zabo. Kupholile lapho, nokucwazimula. Ithuba lami. Futhi ngandlela-thile nginamahloni. Bayixazulule inkinga, basebenzela kuyo, isayensi ethuthukisiwe, futhi “sifanele_ukubikezela” ngokwentuthuko yangaphambilini, hhayi okwesayensi, kodwa ukuze sithuthukise ukuqhubeka kwethu.
Waphuma wathi nami angiyena uchwepheshe kwezokwelapha, waxolisa ngokubachithela isikhathi, futhi wangibonisa isilayidi esisodwa esinesixazululo. Ngehle ngaya ehholo.
Bamemezela umsebenzi ongaphansi wokuqala - singabokuqala, futhi ngamajini.
Eyesibili neyesithathu iyamenyezelwa.
Bamemezela okwesithathu - futhi kuqala futhi ngokuhola.
Okujwayelekile ngowokuqala.
Abanye ezilalelini bayamamatheka futhi bangibuke ngenhlonipho. Abanye, labo ngokusobala ababethathwa njengochwepheshe kulo mkhakha, babewine isibonelelo sikahulumeni ngalo msebenzi futhi asebeneminyaka eminingi bekwenza lokhu, babenobuso obuhlanekezelwe kancane.
Okulandelayo umsebenzi wesibili, lowo onemisebenzi engaphansi emithathu futhi osuyiswe phambili ngezinsuku ezine.
Nalapha ngaxolisa ngaphinde ngakhombisa i-slide sethu esisodwa.
Indaba efanayo. Okubili kuqala, okwesibili okukodwa, okujwayelekile kuqala.
Ngicabanga ukuthi kungokokuqala ngqa emlandweni ukuthi i-ejensi yokuqoqa iwine umncintiswano wokuthwebula izithombe zezokwelapha.
Futhi manje ngimi esiteji, banginikeza uhlobo oluthile lwediploma futhi ngiqhunyiswa ngamabhomu. Kungenzeka kanjani lokho? Lezi zifundiswa zisebenzisa imali yabakhokhi bentela, zisebenzela ukwenza lula futhi zithuthukise izinga lomsebenzi wodokotela, okungukuthi, ngokombono, iminyaka yami yokuphila, kanye nendikimba ethile yadabula bonke abasebenzi bezemfundo bafaka ifulegi laseBrithani ngobusuku obumbalwa.
Ibhonasi kulokhu ukuthi kwamanye amaqembu, abafundi abaneziqu asebesebenze le misebenzi izinyanga eziningi bazoba nokuqhubeka okukhangayo kwa-HR, okungukuthi, bazofika kalula esikrinini sobuchwepheshe. Futhi phambi kwamehlo ami kune-imeyili esanda kwamukelwa:
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.Ngokuvamile, ngisesiteji, ngibuza izethameli: “Ukhona owaziyo lapho ngisebenza khona?” Omunye wabahleli bomncintiswano wayazi - wenza kuGoogle ukuthi iyini i-TrueAccord. Abanye abanjalo. Ngiyaqhubeka: “Ngisebenzela inkampani eqoqa imali, futhi emsebenzini angenzi iComputer Vision noma iDeep Learning. Futhi ngezindlela eziningi, lokhu kwenzeka ngoba iminyango yakwa-HR ye-Google Brain kanye ne-Deepmind ihlunga i-CV yami, inganginiki ithuba lokubonisa ukuqeqeshwa kobuchwepheshe. "
Bahambise isitifiketi, ikhefu. Iqembu lezifundiswa lingidonsela eceleni. Kuvele ukuthi leli yiqembu lezempilo eline-Deepmind. Bahlabeke umxhwele kangangokuthi bafuna ngokushesha ukukhuluma nami mayelana nesikhala sikaNjiniyela Wocwaningo eqenjini labo. (Sikhulumile. Le ngxoxo yathatha izinyanga ezingu-6, ngaphumelela ukuthatha ekhaya, imibuzo, kodwa yanqanyulwa esikrinini se-tech. Izinyanga ezingu-6 kusukela ekuqaleni kokuxhumana kuya esikrinini sobuchwepheshe yisikhathi eside. Ukulinda isikhathi eside kunikeza ukunambitheka yokungasizi ngalutho.Unjiniyela Wocwaningo e-Deepmind e-London, ngokumelene nesizinda se-TrueAccord kube khona igxathu eliqinile, kodwa uma ngibhekene nesizinda sesikhundla sami manje kuyisinyathelo sokwehla. Kusukela ebangeni leminyaka emibili edlule kusukela lapho, kuhle. ukuthi akunjalo.)
isiphetho
Cishe ngaso leso sikhathi, ngathola isicelo esivela kwaLyft, engasamukela.
Ngokusekelwe emiphumeleni yale miqhudelwano emibili ne-MICCAI, okulandelayo kushicilelwe:
Okusho ukuthi, naphezu kobuqili bombono, ukwengeza izindatshana ezikhulayo kanye nokuphrinta kwangaphambili ngemincintiswano kusebenza kahle. Futhi eminyakeni eyalandela senza kwaba kubi nakakhulu.
Bengisebenza eLyft iminyaka embalwa edlule ngenza iComputer Vision/Deep Learning for Self Driving cars. Okungukuthi, ngithole engangikufuna. Nemisebenzi, nenkampani esezingeni eliphezulu, nozakwethu abaqinile, nazo zonke ezinye izinto ezinhle.
Kulezi zinyanga, ngibe nokuxhumana nazo zombili izinkampani ezinkulu i-Google, i-Facebook, i-Uber, i-LinkedIn, kanye nolwandle lokuqala lobukhulu obuhlukahlukene.
Kwakubuhlungu zonke lezi zinyanga. Umkhathi ukutshela okuthile okungajabulisi kakhulu nsuku zonke. Ukwenqatshwa okuvamile, ukwenza amaphutha njalo futhi konke lokhu kunongiwe nomuzwa ophikelelayo wokuphelelwa ithemba. Azikho iziqinisekiso zokuthi uzophumelela, kodwa kunomuzwa wokuthi uyisiwula. Kungikhumbuza kakhulu indlela engazama ngayo ukuthola umsebenzi ngemva nje kwenyuvesi.
Ngicabanga ukuthi abaningi babefuna umsebenzi esigodini futhi yonke into yayilula kakhulu kubo. Iqhinga, ngokubona kwami, yilokhu. Uma ufuna umsebenzi emkhakheni owuqondayo, ube nolwazi oluningi, futhi ukuqhubeka kwakho kusho okufanayo, azikho izinkinga. Ngayithatha ngayithola. Ziningi izikhala.
Kodwa uma ufuna umsebenzi ensimini entsha kuwe, okungukuthi, lapho ulwazi lungekho, akukho ukuxhumana futhi ukuqhubeka kwakho kusho okuthile okungalungile - okwamanje konke kuba mnandi kakhulu.
Njengamanje, abaqashi bavame ukungibhalela futhi bacele ukwenza into efanayo engiyenzayo manje, kodwa enkampanini ehlukile. Sekuyisikhathi ngempela ukushintsha imisebenzi. Kodwa asikho isidingo sokwenza lokho engivele nginekhono kukho. Kwani?
Kodwa ngalokho engikufunayo, angiphinde ngibe nolwazi noma imigqa ku-resume yami. Ake sibone ukuthi konke lokhu kuzophela kanjani. Uma konke kuhamba kahle, ngizobhala ingxenye elandelayo. 🙂
Source: www.habr.com