Data Sayenzi inokutengesa sei kushambadzira? Hurukuro neUnity engineer

Vhiki rapfuura, Nikita Alexandrov, Data Scientist kuUnity Ads, akataura pasocial network, kwaanovandudza shanduko algorithms. Nikita zvino anogara muFinland, uye pakati pezvimwe zvinhu, akataura nezvehupenyu hweIT munyika.

Isu tinogovana newe zvinyorwa uye kurekodha kwebvunzurudzo.

Zita rangu ndiNikita Aleksandrov, ndakakurira muTatarstan uye ndakapedza chikoro ikoko, uye ndakatora chikamu mumasvomhu olympiads. Mushure meizvozvo, akapinda muFaculty yeComputer Science paChikoro Chepamusoro cheEconomics uye akapedza dhigirii rake reBachelor ipapo. Mukutanga kwegore rangu rechina ndakaenda kune chidzidzo chekuchinjana uye ndakapedza semester muFinland. Ndakazvifarira ipapo, ndakapinda masters programme paAalto University, nyangwe zvazvo ndisina kuipedza zvachose - ndakapedza zvidzidzo zvese ndikatanga kunyora thesis yangu, asi ndakasiya ndashanda kuUnity ndisina kuwana degree rangu. Iye zvino ndinoshanda kuUnity data scientist, dhipatimendi rinonzi Operate Solutions (kare rainzi Monetization); Chikwata changu chinoendesa zvakananga kushambadza. Kureva, mu-mutambo kushambadzira - iyo inoonekwa kana iwe uchitamba nharembozha uye inoda kuwana humwe hupenyu, semuenzaniso. Ndiri kushanda mukuvandudza shanduko yekushambadzira - ndiko kuti, kuita kuti mutambi anyanye kudzvanya pane ad.

Wafamba sei?

Kutanga, ndakauya kuFinland kuzodzidza semester yokuchinja, ndichibva ndadzokera kuRussia ndokupedza dhipuroma rangu. Ndakabva ndapinda purogiramu yatenzi paAalto University mukudzidza kwemichina / data science. Sezvo ndaiva mudzidzi wekuchinjana, ndaisatombofanira kunyora bvunzo yechiRungu; Ndakazviita nyore, ndaiziva zvandaiita. Ndava nemakore matatu ndichigara pano.

ChiFinnish chinodiwa here?

Izvo zvinodikanwa kana uchizodzidza pano kune bachelor's degree. Kune zvirongwa zvishoma muChirungu zvema bachelors; unoda Finnish kana Swedish - uyu ndiwo mutauro wechipiri wenyika, mamwe mayunivhesiti anodzidzisa neSweden. Asi muzvirongwa zvatenzi uye zvePhD, zvirongwa zvakawanda zviri muChirungu. Kana tichitaura nezvekukurukurirana kwezuva nezuva uye hupenyu hwezuva nezuva, vanhu vazhinji pano vanotaura Chirungu, vanenge 90%. Vanhu vanowanzorarama kwemakore panguva (wandinoshanda naye anorarama kwemakore makumi maviri) pasina mutauro weFinnish.

Zvechokwadi, kana iwe uchida kugara pano, unofanirwa kunzwisisa chiFinnish pamwero wekuzadza mafomu - zita rekupedzisira, zita rekutanga, nezvimwe zvakadaro.

Hunhu hwedzidzo hunosiyana here nemayunivhesiti muRussian Federation? Ivo vanopa ese anodiwa hwaro hwejunior mudziyo?

Hunhu hwakasiyana. Zvinoita kwandiri kuti muRussia vari kuedza kudzidzisa zvinhu zvakawanda panguva imwe chete: kusiyanisa equations, discrete masvomhu nezvimwe zvakawanda. Muchokwadi, iwe unofanirwa kutora zvimwe zvekushandisa, sekosi kana dissertation, dzidza chimwe chinhu chitsva uri wega, tora mamwe makosi. Apa zvaive nyore kwandiri muchirongwa chatenzi; Ndaiziva zvakawanda zvaiitika. Zvakare, muFinland bachelor haasati ari nyanzvi; kuchine kupatsanurwa kwakadaro. Zvino, kana uine dhigirii raTenzi, saka unogona kuwana basa. Ndingati muzvirongwa zvatenzi muFinland unyanzvi hwemagariro evanhu hunokosha, zvakakosha kutora chikamu, kushingaira; kune mapurojekiti ekutsvagisa. Kana paine tsvagiridzo inonakidza kwauri, uye iwe uchida kuchera zvakadzika, saka iwe unogona kuwana mapikicha emuprofesa, shanda munzira iyi, uye kusimudzira.

Ndiko kuti, mhinduro ndeiyi β€œhongu,” asi iwe unofanirwa kuve uchishanda mumagariro, kubatirira pamukana wese kana uripo. Imwe yeshamwari dzangu yakaenda kunoshanda pakutanga muMupata - pane chirongwa kuyunivhesiti chinotarisa kutanga kwakakodzera uye kuronga kubvunzurudza. Ndofunga akatozoenda kuCERN pave paya.

Ko kambani muFinland inokurudzira sei vashandi, ndezvipi zvinobatsira?

Kunze kwezviri pachena (muhoro), kune mabhenefiti emagariro. Semuenzaniso, huwandu hwezororo rekuberekwa kwevabereki. Kune inishuwarenzi yehutano, masheya, sarudzo. Kune zvisingawanzo kuunganidzwa kwemazuva ezororo. Hapana chakakosha, kunyanya.

Tine sauna muhofisi yedu, semuenzaniso.

Kune zvakare makuponi - imwe mari yekudya kwemasikati, yekutakura veruzhinji, yetsika nemitambo zviitiko (mamuseum, mitambo).

Chii chinogona kukurudzirwa nemudzidzi wevanhu kuti apinde muIT?

Dzokorora kosi yechikoro uye kupinda muHSE? MaProgrammers anowanzo kuve nemasvomhu kumashure / Olympiads ...

Ini ndinopa zano, hongu, kuvandudza masvomhu ako. Asi hazvidikanwi kudzokorora kosi yechikoro. Kunyanya, inofanira kudzokororwa chete kana iwe usingayeuki chero chinhu zvachose. Uye zvakare, iwe unofanirwa kusarudza kuti ndeipi IT yaunoda kupinda mairi. Kuti uve mugadziri wepamberi, haufanire kuziva masvomhu: unongoda kutora makosi ekupedzisira uye kudzidza. Shamwari yangu ichangobva kusarudza kunyoresa mumakosi kubva kuAccenture, iye zvino ari kudzidza Scala; Haasi munhu, asi akange asina ruzivo rwekuronga. Zvichienderana nezvaunoda kuronga uye pane chii, iwe unoda huwandu hwakasiyana hwemasvomhu. Ehe, iyo Machine Kudzidza hunyanzvi inoda masvomhu, neimwe nzira kana imwe. Asi, kana iwe uchingoda kuedza, kune akawanda akasiyana matutorials, yakavhurika ruzivo, nzvimbo dzaunogona kutamba neneural network kana kuzvivaka iwe pachako, kana kurodha yakagadzirira-yakagadzirwa, shandura ma paramita uye uone kuti anochinja sei. Zvose zvinoenderana nokuti simba racho rakasimba sei.

Kana isiri chakavanzika - mihoro, ruzivo, unonyora chii?

Ini ndinonyora muPython - mutauro wepasirese wekudzidza muchina uye sainzi yedata. Chiitiko - aive nezviitiko zvakasiyana-siyana; Ndakanga ndiri injinjiniya mumakambani akati wandei, ndakanga ndiri painternship kwemwedzi yakati wandei muMoscow. Ndakanga ndisina basa renguva yakazara pamberi peUnity. Ndakauyawo ndiri intern, ndikashanda as an intern for 9 months, ndokumbozorora, zvino ndava negore ndichishanda. Muhoro unokwikwidzana, pamusoro penharaunda yepakati. Nyanzvi yekutanga ichawana kubva ku3500 EUR; Izvi zvinosiyana kubva kune kambani kuenda kune kambani. Kazhinji, 3.5-4 ndiyo yekutanga muhoro.

Ndeapi mabhuku uye zvidzidzo zvaunokurudzira?

Ini handifarire kunyanya kudzidza kubva mumabhuku - zvakakosha kuti ndiedze panhunzi; dhawunirodha chimwe chinhu chakagadzirwa uye edza iwe pachako. Ndinozviona semuongorori, saka handigone kubatsira nemabhuku. Asi ini ndakatarisa mamwe mabvunzurudzo uye nhepfenyuro inorarama pano, apo mutauri wechipiri anotaura zvakadzama nezvemabhuku.

Kune akasiyana tutorials. Kana iwe uchida kuyedza algorithm, tora zita regorgorithm, nzira, nzira makirasi, uye riise mukutsvaga. Chero chipi chinouya sechinhu chekutanga chinongedzo, wobva watarisa.

Inoramba yakachena kwenguva yakareba sei?

Mushure memitero - iwe unofanirwa kutora mitero pamwe ne8% (iyo isiri mutero, asi mutero) - 2/3 yemuhoro inosara. Chiyero chine simba - kana iwe uchiwana zvakanyanya, iyo inokwirisa mutero.

Ndeapi makambani anonyorera kushambadzira?

Iwe unofanirwa kunzwisisa kuti Kubatana / Kubatana Ads vari kuita kushambadzira mitambo yemafoni. Ndiko kuti, isu tine niche, isu takanyatso kunyatsoziva mitambo yemafoni, unogona kuvagadzira muKubatana. Kana uchinge wanyora mutambo, unoda kuita mari kubva pauri, uye kuita mari ndiyo imwe nzira.
Chero kambani inogona kunyorera kushambadzira - zvitoro zvepamhepo, zvakasiyana siyana zvekushandisa zvemari. Munhu wese anoda kushambadzira. Kunyanya, vatengi vedu vakuru vagadziri vemitambo yemafoni.

Ndeapi mapurojekiti akanakisa kuita kuvandudza hunyanzvi hwako?

Mubvunzo wakanaka. Kana isu tichitaura nezve data sainzi, iwe unofanirwa kuzvisimudzira iwe pachako kuburikidza nekosi yepamhepo (semuenzaniso, Stanford ine imwe) kana yunivhesiti yepamhepo. Kune akasiyana mapuratifomu aunoda kubhadhara - semuenzaniso, Udacity. Kune basa remumba, mavhidhiyo, kudzidzisa, asi kunakidzwa hakuna kudhura.

Izvo zvidiki zvaunofarira (semuenzaniso, imwe mhando yekusimbisa kudzidza), zvakanyanya kuoma kuwana mapurojekiti. Unogona kuedza kutora chikamu mumakwikwi e kaggle: enda ku kaggle.com, kune akawanda akasiyana emuchina ekudzidza makwikwi ipapo. Iwe unotora chimwe chinhu chatova nemhando yekutanga yakasungirirwa pairi; download uye tanga kuzviita. Ndokunge, kune nzira dzakawanda: unogona kudzidza wega, unogona kutora online kosi - yemahara kana yakabhadharwa, unogona kutora chikamu mumakwikwi. Kana iwe uchida kutsvaga basa paFacebook, Google, uye zvichingodaro, saka iwe unofanirwa kudzidza kugadzirisa algorithmic matambudziko - ndiko kuti, iwe unofanirwa kuenda kuLeetCode, tora hunyanzvi hwako ipapo kuti upfuure mabvunzurudzo.

Rondedzera nzira pfupi yekudzidziswa kweMuchina?

Ini ndichakuudza zvakanaka, pasina kunyepedzera kuve wepasirese. Iwe unotanga watora makosi esvomhu kuUni, unoda ruzivo uye kunzwisisa kwemutsara algebra, mukana uye nhamba. Mushure meizvozvo, mumwe munhu anokuudza nezve ML; kana uchigara muguta guru, panofanira kunge paine zvikoro zvinopa ML makosi. Iyo inonyanya kuzivikanwa ndeye SHAD, Yandex Chikoro cheData Analysis. Kana iwe ukapasa uye iwe uchigona kudzidza kwemakore maviri, iwe unowana iyo yese ML base. Iwe unozofanirwa kuwedzera hunyanzvi hwako mukutsvagisa nebasa.

Kana paine dzimwe sarudzo: semuenzaniso, Tinkov ane makosi emuchina kudzidza nemukana wekuwana basa kuTinkoff mushure mekupedza kudzidza. Kana izvi zvakakunakira, nyoresa kumakosi aya. Kune akasiyana maburi ekupinda: semuenzaniso, ShaD ine bvunzo dzekupinda.
Kana iwe usingade kutora makosi enguva dzose, unogona kutanga nemakosi epamhepo, ayo akawanda anokwana. Zvinoenderana newe; kana uine Chirungu chakanaka, chakanaka, zvichava nyore kuwana. Kana zvisiri, saka pamwe pane chimwe chinhu ipapo zvakare. Iwowo maSHAD hurukuro anowanikwa pachena.
Mushure mekugamuchira theoretical hwaro, unogona kuenda kumberi - kune internship, kutsvagisa, zvichingodaro.

Zvinoita here kudzidza muchina kudzidza iwe pachako? Wakambosangana nemugadziri akadaro here?

Ndinofunga hongu. Iwe unongoda kuve nekurudziro yakasimba. Mumwe munhu anogona kudzidza Chirungu ari oga, somuenzaniso, asi mumwe munhu anofanira kutora zvidzidzo, uye ndiyo nzira chete iyo munhu uyu anogona kudzidza. Ndizvo zvakafanana neML. Kunyange zvazvo ndisingazivi mugadziri wepurogiramu akadzidza zvose ari oga, zvichida handina vanhu vakawanda vanozivana navo; shamwari dzangu dzese dzakangodzidza semazuva ese. Handifungi kutaura kuti unoda kudzidza 100% nenzira iyi: chinhu chikuru ndicho chido chako, nguva yako. Ehe, kana iwe usina hwaro hwemasvomhu, uchafanira kupedza nguva yakawanda uchiigadzira.
Pamusoro pekunzwisisa zvazvinoreva kuva sainzi data: ini handiite data sci pachangu.
ence sekutsvaga. Kambani yedu haisi marabhoritari yatinogadzira nzira tichizvivharira murabhoritari kwemwedzi mitanhatu. Ini ndinoshanda zvakananga nekugadzira, uye ndinoda hunyanzvi hweinjiniya; Ini ndinofanira kunyora kodhi uye kuve nehunyanzvi hweinjiniya kuti ndinzwisise zvinoshanda. Vanhu vanowanzosiya zvinhu izvi kana vachitaura nezve data sainzi. Kune nyaya dzakawanda dzevanhu vane maPhD vanonyora zvisingaverengeki, zvinotyisa, zvisina kurongeka kodhi uye vane matambudziko makuru mushure mekunge vafunga kupinda muindasitiri. Ndiko kuti, mukubatana neMuchina Kudzidza, munhu haafanire kukanganwa nezvehunyanzvi hweinjiniya.

Sainzi yedata inzvimbo isingatauri nezvayo pachayo. Iwe unogona kuwana basa mukambani inobata nesainzi yedata, uye iwe uchanyora mibvunzo yeSQL, kana pachava nekureruka kwekugadzirisa zvinhu. Muchidimbu, uku ndikowo kudzidza kwemuchina, asi kambani yega yega ine manzwisisiro ayo eiyi data sainzi. Semuenzaniso, shamwari yangu paFacebook yakataura kuti sainzi yedata ndipo apo vanhu vanongomhanyisa zviedzo zvenhamba: tinya mabhatani, tora zvawanikwa uye wozvipa. Panguva imwecheteyo, ini pachangu ndinovandudza nzira dzekushandura uye algorithms; mune mamwe makambani hunyanzvi uhu hunogona kunzi mainjiniya ekudzidza muchina. Zvinhu zvinogona kunge zvakasiyana mumakambani akasiyana.

Ndeapi maraibhurari aunoshandisa?

Isu tinoshandisa Keras uye TensorFlow. PyTorch inogonekawo - izvi hazvina kukosha, zvinokutendera kuti uite zvese zvakafanana - asi pane imwe nguva zvakasarudzwa kuzvishandisa. Nekugadzirwa kuripo kwakaoma kuchinja.

Kubatana hakungove nemasainzi edatha anokwirisa shanduko algorithms, asiwo GameTune chinhu chaunovandudza metrics maererano nepurofiti kana kuchengetedza uchishandisa akasiyana tutorials. Ngatitii mumwe munhu akatamba mutambo ndokuti: Handinzwisisi, handisi kufarira - akazvirega; Zviri nyore kune vamwe, asi zvakasiyana, akaregawo. Ndosaka GameTune ichidikanwa - danho rinogadzirisa kuoma kwemitambo zvichienderana nekugona kwemutambi, kana nhoroondo yemutambo, kana kuti kakawanda sei vanotenga chimwe chinhu mu-app.

Kune zvakare Unity Labs - iwe unogona google izvozvo futi. Pane vhidhiyo kwaunotora cereal box, uye kumashure kwayo kune mitambo yakaita semazes - asi inowirirana neaugmented reality, uye iwe unogona kudzora munhu pamakadhibhodi. Zvinotaridzika zvakanaka.

Iwe unogona kutaura zvakananga nezve Unity Ads. Kana ukasarudza kunyora mutambo, uye ukasarudza kuuburitsa uye kuita mari, iwe uchafanirwa kugadzirisa mamwe matambudziko akaoma.

Ini ndichatanga nemuenzaniso: Apple yakazivisa kutangwa kweIOS 14. Mariri, mutambi anogona kupinda muchirongwa uye ataure kuti haadi kugovera ID yake-ID nemunhu. Zvisinei, anobvuma kuti kunaka kwekushambadzira kuchaderera. Asi panguva imwe cheteyo, zvinonetsa kwatiri nekuti kana tikatadza kukuzivai, hatizokwanisi kuunganidza mamwe mametrics, uye tichangove neruzivo rushoma nezvenyu. Zviri kuwedzera kuomera sainzi wedata kukwidziridza basa munyika yakazvipira kuvanzika uye kuchengetedza data - kune data shoma uye shoma, pamwe nemaitiro aripo.

Pamusoro peKubatana, kune hofori dzakaita seFacebook neGoogle - uye, zvingaite senge, nei tichida Unity Ads? Asi iwe unofanirwa kunzwisisa kuti aya kushambadzira network anogona kushanda zvakasiyana munyika dzakasiyana. Zvichienderana, kune Tier 1 nyika (America, Canada, Australia); Kune Tier 2 nyika (Asia), kune Tier 2 nyika (India, Brazil). Advertising network inogona kushanda zvakasiyana mavari. Rudzi rwekushambadzira rwakashandiswa rune basa zvakare. Ndiyo yakajairika mhando, kana "mubairo" kushambadzira - apo, semuenzaniso, kuti uenderere mberi kubva panzvimbo imwechete mushure memutambo wapera, unofanirwa kuona chiziviso. Mhando dzakasiyana dzekushambadzira, vanhu vakasiyana. Mune dzimwe nyika, imwe yekushambadzira network inoshanda zvirinani, mune dzimwe, imwe. Uye sechimwe chinyorwa, ndakanzwa kuti kubatanidzwa kweGoogle AdMob kwakaoma kupfuura Kubatana.

Ndokunge, kana iwe ukagadzira mutambo muKubatana, saka iwe unongobatanidzwa muUnity Ads. Musiyano ndeye nyore kubatanidzwa. Chii chandingakurudzira: pane chinhu chakadai sekuyananisa; ine nzvimbo dzakasiyana-siyana: unogona kuseta zvigaro mu "waterfall" yekuisa kushambadzira. Iwe unogona kutaura, semuenzaniso, izvi: Ndinoda kuti Facebook iratidzwe kutanga, ipapo Google, ipapo Kubatana. Uye, kana Facebook neGoogle vakasarudza kusaratidza kushambadzira, ipapo Kubatana kuchadaro. Iyo yakawanda advertising network yaunayo, zviri nani. Izvi zvinogona kutorwa sekudyara, asi iwe urikudyara mune imwe nhamba yema ad network kamwechete.
Iwe unogona zvakare kutaura nezve izvo zvakakosha pakubudirira kwemushandirapamwe wekushambadzira. Muchokwadi, hapana chakakosha pano: iwe unofanirwa kuve nechokwadi chekuti kushambadzira kwakabatana kune zviri mukati mekushandisa kwako. Iwe unogona, semuenzaniso, kutsvaga YouTube ye "app ads mafia" uye ona kuti kushambadzira kungasaenderane nezviri mukati. Kune zvakare app inonzi Homescapes (kana Gardenscapes?). Zvingave nebasa kana mushandirapamwe wakagadzwa nenzira kwayo: kuitira kuti kushambadza muChirungu kuonekwe kune vateereri vanotaura Chirungu, uye muchiRussia kune vateereri vanotaura chiRussia. Kazhinji pane zvikanganiso mune izvi: vanhu havangozvinzwisise, vanoiisa chero.
Iwe unofanirwa kugadzira akasiyana anotonhorera mavhidhiyo, funga nezve fomati, funga nezvekuti kangani kuavandudza. Mumakambani makuru, vanhu vakasarudzika vanoita izvi - maneja ekutora mushandisi. Kana iwe uri mugadziri mumwe chete, saka haudi izvi, kana iwe unozvida mushure mekuwana kumwe kukura.

Ndezvipi zvirongwa zvenguva yemberi?

Ndichiri kushanda pandiri izvozvi. Zvichida ndichawana mugari weFinnish - izvi zvinogoneka mushure memakore mashanu ekugara (kana asingasviki makore makumi matatu, iwe unofanirwawo kushumira, kana munhu wacho asina kuita izvi kune imwe nyika).

Nei wakatamira kuFinland?

Ehe, iyi haisi nyika yakakurumbira kuti nyanzvi yeIT iende kwairi. Vanhu vazhinji vanofamba nemhuri nekuti pane zvakanaka zvekugarisana zvakanaka pano - kindergartens, nurseries, uye maternity leave kune chero mubereki. Ko ndazvifambisa sei ini ndaingozvifarira apa. Zvimwe ndingazvifarira chero kupi zvako, asi Finland iri pedyo zvikuru nemafungiro etsika; Kune misiyano neRussia, hongu, asi kunewo kufanana. Iye mudiki, akachengeteka, uye haazombopindi mumatambudziko makuru. Iyi haisi yakajairwa America, kwaunogona kuwana mutungamiri asina kufarirwa, uye chimwe chinhu chinozotanga nekuda kweizvi; uye kwete Great Britain, iyo kamwe kamwe inoda kubva muEU, uye pachavawo nematambudziko. Kune vanhu mamiriyoni mashanu chete pano. Kunyangwe nedenda rekoronavirus, Finland yakabata zvakanaka zvichienzaniswa nedzimwe nyika.

Uri kuronga kudzokera kuRussia here?

Ini handisati ndaenda. Hapana chaizonditadzisa kuita izvi, asi ndinonzwa ndakasununguka pano. Uyezve, kana ndikashanda muRussia, ndichafanira kunyoresa muchiuto, uye ndinogona kunyoreswa.

Nezve zvirongwa zve masters muFinland

Hapana chino shamisira. Kana tikataura pamusoro pezviri muhurukuro, inongova seti yemasiraidhi; pane zvinyorwa zvezvinyorwa, semina nekudzidzira, apo iyi dzidziso inokudzwa, uye bvunzo pazvinhu izvi zvese (dzidziso uye mabasa).

Feature: ivo havazodzingwe kubva purogiramu yatenzi. Kana ukasapasa bvunzo, unongofanira kutora kosi iyi mumesita inotevera. Pane chete muganho pane yakazara nguva yekudzidza: ye bachelor's degree - isingapfuuri makore manomwe, yedhigirii ra master - makore mana. Unogona kupedzisa zvese zviri nyore mumakore maviri, kunze kwekosi imwe chete, uye woitambanudza pamusoro pemakore maviri, kana kutora makosi edzidzo.

Basa muMoscow uye muFinland rakasiyana zvikuru here?

handingati. Same IT makambani, zvakafanana mabasa. Mumagariro uye mazuva ese, zviri nyore, basa riri pedyo, guta idiki. Chitoro chegirosari chiri miniti imwe chete kubva kwandiri, jimu iri nhatu, basa makumi maviri neshanu, gonhi nesuo. Ndinoda masaizi; Handisati ndambogara mumaguta anotonhorera kudaro, umo zvinhu zvose zviri pedyo. Masikirwo akanaka, gungwa riri pedyo.

Asi maererano nebasa, ndinofunga zvese, kuwedzera kana kubvisa, zvakafanana. Nezve IT musika wevashandi muFinland, maererano nekudzidza kwemuchina, chimwe chiziviso chekuti kune hunyanzvi hune hukama neML, PhD kana dhigirii ra master rinodiwa. Ndinotenda kuti izvi zvichachinja mune ramangwana rinoonekwa. Pachine rusaruro pano: kana uine dhigirii reBachelor, saka haugone kuve nyanzvi yakadzidziswa, asi kana uine dhigirii ra master, une hunyanzvi uye unogona kushanda. Uye kana iwe uine PhD, saka zvese zvakatonhorera, uye iwe unogona kuita IT tsvagiridzo. Kunyange, zvinoratidzika kwandiri, kunyange vanhu vakapedza PhD yavo vangave vasina kunyatsobatanidzwa mumhizha, uye vangave vasinganzwisisi kuti iyo indasitiri haisi chete algorithms uye nzira, asiwo bhizinesi. Kana iwe usinganzwisise bhizinesi, saka ini handizive kuti iwe unogona sei kukura kambani uye kunzwisisa kuti iyi meta-system inoshanda sei.

Saka pfungwa yekuenda kunopedza chikoro uye nekukasira kuwana basa yakaoma; kana iwe ukatamira kuFinland uine bachelor's degree, iwe hausi-zita. Iwe unofanirwa kuve neruzivo rwebasa kuti uti: Ndakashanda kuYandex, Email, Kaspersky Lab, nezvimwe.

Nzira yekurarama sei pa500 EUR muFinland?

Unogona kurarama. Kana iwe uri mudzidzi, iwe unofanirwa kunzwisisa kuti hauzove neiyo bhezari; Iyo EU inogona kupa mari, asi chete yekuchinjana vadzidzi. Kana uri kupinda yunivhesiti muFinland, saka unofanira kunzwisisa kuti uchararama sei. Pane zvakawanda zvingasarudzwa; kana iwe ukanyoresa muchirongwa che masters nePhD track (kureva kuti, panguva imwe chete muchirongwa chatenzi uye PhD), saka kubva mugore rekutanga chairo uchaita basa rekutsvagisa uye nekugamuchira mari yayo.
Zvidiki, asi zvichakwana kumudzidzi. Chechipiri sarudzo ibasa renguva-pfupi; semuenzaniso, ndaive mubatsiri wekudzidzisa kune imwe kosi uye ndaiwana 400 EUR pamwedzi.

Nenzira, Finland ine mabhenefiti akanaka emudzidzi. Iwe unogona kutamira mudorm ye300 kana 200 EUR pakamuri, unogona kudyira mumacanteens evadzidzi nemutengo wakatarwa (zvese zvaunoisa mundiro yako 2.60 EUR). Vamwe vanoedza kuva nemangwanani, masikati uye kudya kwemanheru muimba yekudyira kwe2.60; kana ukaita izvi, unogona kurarama pa500 EUR. Asi iyi ndiyo shoma shoma.

Ungaenda kupi kana uchida kuva programmer?

Iwe unogona kunyoresa muFaculty yeComputer Science paChikoro Chepamusoro cheEconomics, Moscow Institute of Physics uye Technology - FIVT uye FUPM, kana kuti Computer Science uye Computing Committee yeMoscow State University, somuenzaniso. Unogona kuwana chimwe chinhu muSt. Asi ini handizive nezve chaiyo mamiriro nekudzidza muchina, edza googling iyi nyaya.

Ndinoda kutaura kuti kuva programmer, kurovedza chete hakuna kukwana. Zvakakosha kuva munhu anoshamwaridzana, anofadza kutaura naye, kuitira kuti uite vanhu nokukurumidza sezvinobvira. Contacts anogona kusarudza. Kurudziro yako pachako kukambani inopa mukana unobatika pamusoro pevamwe vanyoreri; iwe unogona kungosvetuka kuongorora kweanopinza basa.

Nomuzvarirwo, hupenyu muFinland hahuna kunaka zvachose - ndakatama, uye zvese zvakabva zvatonhorera. Chero ani zvake anenge atamira kune dzimwe nyika achiri kusangana netsika nemagariro. Nyika dzakasiyana dzine vanhu vakasiyana, mafungiro akasiyana, mitemo yakasiyana. Semuenzaniso, pano iwe unofanirwa kutarisira mitero iwe pachako - zadza kadhi yemutero iwe pachako; kutenga motokari, kurenda imbaβ€”zvinhu zvakawanda zvinoshanda zvakasiyana. Zvakaoma kana ukafunga kutama. Vanhu vari pano havasi kunyanya kushamwaridzana, mamiriro ekunze akafanana muSt. Vamwe vanotoora mwoyo pano; vanouya nechivimbo chokuti vanodiwa zvikuru pano, asi izvi zvinoshanduka kuti hazvina kudaro, uye vanoda kuwana mari nekutamba nemitemo yemumwe munhu. Iri njodzi nguva dzose. Pane nguva dzose mukana wekuti uchafanira kudzokera shure nokuti hausi kuzokwana mauri.

Nderipi zano raungapa kune vanoda programmers?

Ndinokupa zano kuti uedze vakawanda sezvinobvira, kuti unzwisise zvinonyanya kufarira iwe. Edza kusamira munzvimbo imwechete: edza Android kusimudzira, frontend / backend, Java, Javascript, ML, uye zvimwe zvinhu. Uye, sezvandambotaura, iwe unofanirwa kushingaira, kuita kuonana, kufarira zviri kuitika; zviri kuitwa neshamwari, vatinoshanda navo, vaunozivana navo. Enda kumashopu, masemina, hurukuro, sangana nevanhu. Kunyanya kubatana kwaunenge uine, zviri nyore kunzwisisa kuti ndezvipi zvinhu zvinonakidza zviri kuitika.

Ndekupi kumwe kunoshandiswa Kubatana kunze kwemitambo?

Kubatana kuri kuyedza kumira kuve yakachena mutambo injini. Semuenzaniso, inoshandiswa kupa CGI mavhidhiyo: kana iwe uri kugadzira mota, semuenzaniso, uye uchida kuita chiziviso, iwe, chokwadi, unoda kuita vhidhiyo yakanaka. Ndakanzwa kuti Unity inoshandiswawo pakuronga zvekuvaka. Ndiko kuti, pese panodiwa kuona kuona, Kubatana kunogona kushandiswa. Kana iwe uri google, unogona kuwana inonakidza mienzaniso.

Kana uchida kubvunza mubvunzo, sununguka kundiwana pasocial network.

Chii chakaitika kare

  1. Ilona Papava, Senior Software Injiniya paFacebook - maitiro ekuwana internship, kuwana chinopihwa uye zvese nezve kushanda mukambani.
  2. Boris Yangel, ML mainjiniya kuYandex - sei kusajoinha matinji enyanzvi dzisina mbeveve kana iwe uri Data Scientist
  3. Alexander Kaloshin, CEO LastBakend - maitiro ekutanga kutanga, kupinda mumusika weChinese uye kugamuchira mamirioni gumi nemashanu ekudyara.
  4. Natalya Teplukhina, Vue.js core team member, GoogleDevExpret - maitiro ekupasa kubvunzurudzwa paGitLab, pinda muchikwata cheVue development uye uve Staff-engineer.
  5. Ashot Oganesyan, muvambi uye tekinoroji director weDeviceLock - anoba uye anoita mari pane yako pachako data.
  6. Sania Galimova, mutengesi paRUVDS - mararamiro uye kushanda nechirwere chepfungwa. 1 chikamu. 2 chikamu.
  7. Ilya Kashlakov, mukuru wedhipatimendi repamberi reYandex.Money - kuti ungave sei mutungamiri weboka repamberi uye kuti ungararama sei shure kweizvozvo.
  8. Vlada Rau, Senior Digital Analyst kuMcKinsey Digital Labs - maitiro ekuwana internship kuGoogle, enda mukubvunza uye kutamira kuLondon.
  9. Richard "Levellord" Grey, musiki wemitambo Duke Nukem 3D, SiN, Ropa - nezvehupenyu hwake, mitambo yaanofarira uye Moscow..
  10. Vyacheslav Dreher, mugadziri wemutambo uye mugadziri wemutambo ane makore gumi nemaviri echiitiko - nezvemitambo, kutenderera kwehupenyu hwavo uye kuita mari.
  11. Andrey, technical director kuGameAcademy - kuti mitambo yemavhidhiyo inokubatsira sei kukudziridza hunyanzvi chaihwo uye kuwana basa rako rekurota.
  12. Alexander Vysotsky, anotungamira PHP kuvandudza kuBadoo - maitiro eHighload anogadzirwa muPHP muBadoo.
  13. Andrey Evsyukov, Mutevedzeri weCTO kuDelivery Club - nezve kuhaya vakuru makumi mashanu mumazuva makumi mana nematatu uye maitiro ekugadzirisa hurongwa hwekuhaya.
  14. John Romero, mugadziri wemitambo Doom, Quake uye Wolfenstein 3D - nyaya dzemagadzirirwo eDOOM.
  15. Pasha Zhovner, mugadziri weTamagotchi wevanobira Flipper Zero - nezve purojekiti yake uye zvimwe zviitiko.
  16. Tatyana Lando, muongorori wemitauro kuGoogle - maitiro ekudzidzisa maitiro emunhu weGoogle Assistant
  17. Iyo nzira kubva kujunior kune Executive director kuSberbank. Hurukuro naAlexey Levanov

Data Sayenzi inokutengesa sei kushambadzira? Hurukuro neUnity engineer

Data Sayenzi inokutengesa sei kushambadzira? Hurukuro neUnity engineer

Source: www.habr.com

Voeg