LunitSeoulSeniorResearchEngineerAutoMLOn-siteuering cancer through Al"Thistext "isstationefficient. By clicking"Accept all" you consent totheuseofallcookies;by clicking"Decline all" only strictlyrecessarycookiesviewourcookiespolicyas customizeyour cookies settings:Lunit,a portmanteau of 'LearningUnit,'isamedicalAlsoftware companydevotedtoprovidingAl-powered total cancer care.OurAIsolutionshelpdiscovercancerandpredictcancerent outcomes,achieving timely andindividually-tailored cancertreatment.About theTeamAutoMLteam at Lunit automatesAI product developmentprocesses tostreamlinetime-consumingtasks add advancecutting-edgeAutoMLresearch.Bycombiningengineeringexpertise withstate-of-the-art deeplearning techniques,our teamplaysanimportantrolein acceleratingproductdevelopmentforcancerdetand treatment.JoinusinourmissiontoConquerCancerThroughAIwhere your contributions willdirectlyinfluenceAlinnovationsthat improve patient outcomes In short,we'reateamthatmaximizesAI tech to*createAImodels*withextremeefficiency.AboutthePositionAstheSeniorResearchEngineerinAutoMLTeam, you willdrive thedevelopmentofanautomatedAI product developmentframework thatspans data ingestion,model training,hyperparameteroptimization andinferenceYouwillguideboththeengineeringandresearchdirectionsforacloudbasedAutoMLplatformthat allowsefficientdeeplearningresearchYouwillpioneertheuseofAagentstofullyautomateresearchworkflows-integrating cutting-edgealgorithms and internal tolstotransformhownew models and featuresare developedThisrolerequiresclosecollaborawithbothresearchandengineeringteams to deliver robust andhigh-performance AIsolutions thatmake a real-worldimpactRoles&ResponsibilitiesLead the development ofanautomatedAlproductdevelopmentframework, covering dataingestion,training, packaing and inferenceBridgeresearchandengineerirg by integrating state-of-the-art deeplearningtechniquesintoproductiEnhance thecloud-based AutoML platform tosupport efficient deeplearningresearchandscalablemodel developmentImplement Al agents toautomateresearchworkflowsusing internal toolsand servicesGuide andmentorteammembers,fostering a collaborative and high-performingresearch-engineeringToolsUsedDevelopment Related:Django,Django REST Framework,React, Next.js,MySQL, PostgreSQL,Redis,Celery,NginxML Framework:PyTorch,OptunaInfrastructure:Google CloudPlatform, Kubernetes,Git,DockerGeneral: Slack,Confluence,JiraRequirementsQualifications5+yearsofexperienceindeep learning research ard software engineeringMaster's or Ph.D.degreewith an ML-related topicStrong backgroundin deep learningwithexperienceinconputervision,natural language processig or AutoMLHands-on experiencewith cloud platforms,Kubernetes,and scalableAinfrastructureStrongleadershipandcommunicationskillstocollaborateacross researchand engineeringteamsProvenabilitytotakeowneship and drive projects from concept todeploymentPreferred ExperiencesPublicationsintop-tierCV/MLconawards in CV/MLcompetitions,or active participationin the researchcommunityFamiliaritywithwebdevelopmentincluding both backendand frontendHands-onexperience inplatform development,operations,or DevOpsKnowledgeofcloudcomputirg services (GCP,AWS,or Azure)How to ApplyCV(resume,freeformat)Hiring ProcessDocument Screening→ Technical Interview(Teams)Assignment → PTInterview → Culture-fit Interv→ OnboardingAfter the finalinterview,wemayproceed with reference checks ifneeded.WorkConditionsandEnvironmentWork type:Full TimeWork location : Lunit HQ(5F, 374,Gangnam-daero,Gangnam-gu,Seoul)Salary:After NegotiationETCIfyoumisrepresentyourexperienceoreducationorprovidefalseorfraudulentinformationinorwithyourapplication,itmay be grounds forcancellationof the employment.Lunitiscommittedinprovidingthe preferentialprocessingtothoseeligibleforemploymentprotection(national merits andpeoplewithdisabilities)relevant torelated laws and regulations.BenefitsBenefits & PerksTheofficeisataveryconvenient locationjustaminuteawayfromGangnamStation Exit3.MealAllowanceisprovided(up to 12,000 KRW permeal) when working atthe office.Up to 300,000 KRWis covereduponjoiningtodecorateyour personalworkspace.Latestcomputermodels,suchasMacsand4Kmonitors are provided andcanberenewedeverythree years.Seminar registration feesandbookpurchasesare covered.Regular in-house Al andmedical seminars areheld.KoreanlessonsareprovidedforLunitians who donot speakKorean as theirfirst language.In-houseEnglishlessons(akaLuniversal)isprovided for Englishdevelopment.Access to high-qualityAl learningresources &deeplearningDevOpssystem.Upto1.2millionKRWworthof benefits points can beclaimed annually.HolidayAllowancesareprovidedintheformofgiftsorvouchersforKoreanNational holidays,Seollal and Chuseok.Congratulatory andCondoienceallowances,alongwithpaidtimeoffareprovided.Annual medical checkups andemployeeaccidentinsurane are provided.Expensesformonthlyemployeesgatherings are partially covered.
