Learning to rank - Amazon Science

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Close Close Researchareas Automatedreasoning Cloudandsystems Computervision ConversationalAI/Natural-languageprocessing Economics Informationandknowledgemanagement Machinelearning Operationsresearchandoptimization Quantumtechnologies Robotics Searchandinformationretrieval Security,privacy,andabuseprevention Sustainability Automatedreasoning Cloudandsystems Computervision ConversationalAI/Natural-languageprocessing Economics Informationandknowledgemanagement Machinelearning Operationsresearchandoptimization Quantumtechnologies Robotics Searchandinformationretrieval Security,privacy,andabuseprevention Sustainability Blog Newsandfeatures Awardsandrecognitions Videosandwebinars Awardsandrecognitions Videosandwebinars Publications Conferences Collaborations AcademicsatAmazon AlexaPrize AmazonResearchAwards NSFFairnessinAI AcademicsatAmazon AlexaPrize AmazonResearchAwards NSFFairnessinAI Careers Internships WorkingatAmazon Internships WorkingatAmazon Subscribe FollowUs twitter instagram youtube facebook linkedin Menu Researchareas Automatedreasoning Cloudandsystems Computervision ConversationalAI/Natural-languageprocessing Economics Informationandknowledgemanagement Machinelearning Operationsresearchandoptimization Quantumtechnologies Robotics Searchandinformationretrieval Security,privacy,andabuseprevention Sustainability Automatedreasoning Cloudandsystems Computervision ConversationalAI/Natural-languageprocessing Economics Informationandknowledgemanagement Machinelearning Operationsresearchandoptimization Quantumtechnologies Robotics Searchandinformationretrieval Security,privacy,andabuseprevention Sustainability Blog Newsandfeatures Awardsandrecognitions Videosandwebinars Awardsandrecognitions Videosandwebinars Publications Conferences Collaborations AcademicsatAmazon AlexaPrize AmazonResearchAwards NSFFairnessinAI AcademicsatAmazon AlexaPrize AmazonResearchAwards NSFFairnessinAI Careers Internships WorkingatAmazon Internships WorkingatAmazon Subscribe ShowSearch SearchQuery SubmitSearch Learningtorank Publications Externalevaluationofrankingmodelsunderextremeposition-bias YaronFairstein,EladHaramaty,ArnonLazerson,LianeLewin-Eytan WSDM2022 2022 Searchandinformationretrieval Ascalablemodelforonlinecontextualmusicrecommendations EmanueleCoviello,KatherineEllis,FabianMoerchen Recsys2021WorkshoponContext-AwareRecommenderSystems 2021 Searchandinformationretrieval Unbiasedcounterfactualestimationofrankingmetrics HainingYu SIGIR2021FirstInternationalWorkshoponCausalityinSearchandRecommendation 2021 Searchandinformationretrieval CPR:Collaborativepairwiserankingforonlinelistrecommendations SaurabhGupta,AnnaLuo,BharathanBalaji RecSys2020WorkshoponOnlineRecommenderSystemsandUserModeling 2020 Searchandinformationretrieval Passagerankingwithweaksupervision PengXu,XiaofeiMa,RameshNallapati,BingXiang ICLR2ndLearningfromLimitedLabeledDataWorkshop2019 2019 Informationandknowledgemanagement LoadMore Usinglearning-to-ranktopreciselylocatewheretodeliverpackages GeorgeForman September15,2021 ModelsadaptedfrominformationretrievaldealwellwithnoisyGPSinputandcanleveragemapinformation. Machinelearning Credit:mbbirdy/GettyImages/iStockphoto Ageneralapproachtosolvingbanditproblems YannikStein,FabianMoerchen October21,2020 Applicationsinproductrecommendationandnatural-languageprocessingdemonstratetheapproach’sflexibilityandeaseofuse. Searchandinformationretrieval AmazonScholarwins“highesthonor”inknowledgediscoveryanddatamining LarryHardesty August27,2020 ThorstenJoachimsanswers3questionsabouttheworkthatearnedhimtheaward. Searchandinformationretrieval WorkwithusSeemorejobs Seemorejobs ResearchScientist,AlexaParalinguistics US,WA,Seattle JobsummaryAlexaisthegroundbreakingvoiceservicethatpowersEchoandotherdevicesdesignedaroundyourvoice.OurteamiscreatingthescienceandtechnologybehindAlexa.We’reworkinghard,havingfun,andmakinghistory.Comejoinourteam!Youwillhaveanenormousopportunitytoimpactthecustomerexperience,design,architecture,andimplementationofacuttingedgeproductusedeverydaybypeopleyouknow.We’relookingforapassionate,talented,andinventivescientisttohelpbuildindustry-leadingconversationaltechnologiesthatcustomerslove.Ourteam'smissionistheenableAlexatounderstandsoundsandvocalizationbeyondspeech.AsanResearchScientist,youwillworkwithtalentedpeerstodevelopnovelalgorithmsandmodelingtechniquestoadvancethestateoftheartinspeechandaudioprocessing.Yourworkwilldirectlyimpactourcustomersintheformofnovelproductsandservicesthatmakeuseofspeechandlanguagetechnology.YouwillleverageAmazon’sheterogeneousdatasourcesandlarge-scalecomputingresourcestoaccelerateadvancesinspokenlanguageunderstanding.Youwillmentorjuniorscientists,createanddrivenewinitiatives. アプライドサイエンティスト|AppliedScientist,JapanOperations JP,13,Meguro JobsummaryDoyouwanttohelpreinventhowAmazondoesSupplyChaininJapan?ComehelpusmakeuseofvastamountsofAmazondatatooptimizeourJapanfulfillmentoperationstolowercostsforourcustomers!Amazon'sBusinessProcessandSolutionsteamishiringpassionateAppliedScientiststoidentifyandimplementimprovementstoAmazonJPOperations.ResponsibilitiesincludeimplementingWorldwidetechnologylocallyandinventingnovelnewsoftwaresolutions.Businessspaceswehaveworkedonincludeinventorydistribution,FClayoutplanning,truckutilization,etc.Amazoniscommittedtoadiverseandinclusiveworkplace.Amazonisanequalopportunityemployeranddoesnotdiscriminateonthebasisofrace,nationalorigin,gender,genderidentity,sexualorientation,protectedveteranstatus,disability,age,orotherlegallyprotectedstatus.Forindividualswithdisabilitieswhowouldliketorequestanaccommodation,visithttps://www.amazon.jobs/disability/jpKeyjobresponsibilitiesYourprimaryresponsibilityistouseindustry-grademachinelearningmethodologiesandothertechniquestomakefulluseofAmazondata.Youwilldevelopproductioncode,alongwithsoftwareanddataengineers,toimplementsolutionsthatutilizethemodelsandinferencescreated.Collaborationwithteamlocalandworldwideisacoreresponsibility.AdayinthelifeAnaveragedaymaylooklike:·Attenddailystandupeitherinpersonorremotelytogivestatusupdates·TrainMLmodelsusingAmazonSageMakerandJupyternotebooks·Attendadesignreviewforanewproduct·DevelopadatapipelinefromaninternalDataWarehousetoalocalRedshiftClusterWemakework/lifeharmonyapriority.Aslongasrequiredmeetingsareattendedduringstandardworkinghoursandworkiscompleted,employeesarefreetodefinetheirownhours.Amazonalsooffersotherprograms,suchasmaternityandpaternityleave. SeniorPrincipalEconomist,GlobalMediaandAdvertisingEconomicsTeam US,WI,VirtualLocation-Wisconsin JobsummaryTheGlobalMedia,Advertising&Corp-DevEconomicsTeamisseekingahighlyexperiencedeconomisttodevelopdisruptivenewapproachesforAmazon’sGlobalMediaandEntertainment(GME)businesses.TherolewillreporttotheVPeconomistleaderoftheGMACEconomicsTeam,thatisacentralresearchteamsupportingAmazon’sGMEandAdvertisingbusinesses.AmazonhasaportfolioofGMEbusinesses,includingPrimeVideo,PrimeMusic,PrimeGaming,AudibleandTwitch.CertainproductsandservicesfromthesebusinessesareavailabletoourcustomersasPrimebenefits,andtherearealsoad-supportedandadd-onsubscriptionproductsfromPrimemembersaswellproductsthatareavailabletonon-Primecustomers.Allofthesebusinessesareglobalandrapidlygrowing.TheroleoftheGMEeconomicsleaderinvolves3keycomponents.First,identificationofhighimpactopportunitiesthatleverageeconomicsandsciencetodriveimprovementsineachofourGMEbusinesses.Thisalsorequirestheabilitytodevelopeffectivesolutions,influenceandleadtherelevantbusinesstoadoptandimplementthesenewapproaches.Suchsolutionsmayrequireadvancedeconometricsorothercutting-edgescience,andinsomecasesinvolvesengineeringimplementationofscalabletools.Second,aswegrowourportfolioofGMEbusinesses,weneedtoolsandsolutionsthatdrivejointvalueamongthesebusinesses.E.g.,thedevelopmentoftoolsthathelpustounderstandandenhancecustomerjourneysacrossthevariousGMEproducts;oridentifyinginstanceswherewecanleverageIPacrossmultipleproducts.Third,asaseniorscienceleaderthispersonwillhelpinsettingdirectionandprioritizationfortheworktheteamdoes;providingtechnicalleadershipandassuringthedevelopmentofcommonsense,rigorous,andreliablescience;beinganeffectiveadvocatefortheworkoftheteam;creatingandmaintainingmechanismstodrivetrustandalignmentwithbusinesspartners;andhiringanddevelopingateamofhighimpactscientists. DataScientist,AmazonDevices,DevicesSales&Marketing US,WA,Bellevue JobsummaryThecandidateinthisrolewillowndeliveryofscienceproductsandsolutionstohelpAmazonDevicesSalesandMarketingorg.makebetterdecisions:productrecommendationstocustomers,segmentation,financialincrementalityofmarketinginitiatives,A/Btestingetc.KeyjobresponsibilitiesTheAmazonDevicesorganizationdesigns,producesandmarketsEchoSpeakers,Kindlee-readers,FireTablets,FireTVStreamingMediaPlayers,RingandBlinkSmartHome&Securityproducts.Weareconstantlylookingtoinnovateonbehalfofcustomerswithnewdevicesinexistingornewcategoriesorimprovingcustomerexperienceonexistingplatforms.TheDevicesDataServices(DDS)teamprovidesDataScience,AnalyticsandEngineeringsupporttothebroaderorganizationtoenableSalesandMarketingactivitiesacrossalltheseproductlines.Wearelookingforaninnovative,hands-onandcustomer-obsessedDataScientistwhocanbeastrategicpartnertotheproductmanagersandengineersontheteam.Ourprojectsspanmultipleorganizationsandrequirecoordinationofexperimentation,economicandcausalanalysis,andbuildingpredictivemachinelearningmodels.Asuccessfulcandidatewillbeaproblemsolverwhoenjoysdivingintodata,isexcitedbydifficultmodelingchallenges,ismotivatedtobuildsomethingthatwilleventuallybecomeaproductionsoftwaresystem,andpossessesstrongcommunicationskillstoeffectivelyinterfacebetweentechnicalandbusinessteams.Inthisrole,youwillbeatechnicalexpertwithmassiveimpact.YouwilltaketheleadondevelopingadvancedMLsystemsthatarekeytoreachingourcustomerswiththerightrecommendationsattherighttime.YourworkwilldirectlyimpactthesuccessofAmazon'sgrowingDevicesbusiness.Youwillworkacrossdiversescience/engineering/businessteams.Youwillworkoncriticaldatascienceproblems,buildinghighquality,reliable,accurate,andconsistentcodesetsthatarealignedwithourbusinessneeds.KeyPerformanceAreas·Implementstatisticalormachinelearningmethodstosolvespecificbusinessproblems.·Improveuponexistingmethodologiesbydevelopingnewdatasources,testingmodelenhancements,andfine-tuningmodelparameters.·Directlycontributetodevelopmentofmodernautomatedrecommendationsystems·Buildcustomer-facingreportingtoolstoprovideinsightsandmetricstotrackmodelperformanceandexplainvariance·Collaboratewithresearchers,softwaredevelopers,andbusinessleaderstodefineproductrequirements,provideanalyticalsupport,andcommunicatefeedbackAdayinthelifeYouwillworkwithotherscientists,engineers,productmanagers,andmarketerstodevelopnewproductsthatbenefitourcustomersandhelpusreachourbusinessgoals.Youwillownsolutionsfromendtoend:conceptualization,prioritization,development,delivery,andproductionalization.AbouttheteamWeareafullstackscienceteamthatempowersproduct,marketing,andotherbusinessleaderstobetterunderstandcustomerswhouseAmazondevices,makedecisionsonproductdevelopmentoroptimization,andmeasuretheeffectivenessoftheireffortsagainstourcustomer’sexpectation.Ourfocusareaistobuildanalyticalframeworksthathelptheorganizationeitheraccessdata,betterunderstandthedecisionscustomersaremakingandwhy,orassesscustomersatisfaction. SeniorMachineLearningEngineer,PublicSector-AWSProfessionalServices US JobsummaryExcitedbyusingmassiveamountsofdatatodevelopMachineLearning(ML)andDeepLearning(DL)models?Wanttohelppublicsector,medicalcenter,andnon-profitcustomersderivebusinessvaluethroughtheadoptionofArtificialIntelligence(AI)?Eagertolearnfrommanydifferententerprise’susecasesofAWSMLandDL?ThrilledtobekeypartofAmazon,whohasbeeninvestinginMachineLearningfordecades,pioneeringandshapingtheworld’sAItechnology?AtAmazonWebServices(AWS),wearehelpinglargeenterprisesbuildMLandDLmodelsontheAWSCloud.Weareapplyingpredictivetechnologytolargevolumesofdataandagainstawidespectrumofproblems.OurProfessionalServicesorganizationworkstogetherwithourAWScustomerstoaddresstheirbusinessneedsusingAI.AWSProfessionalServicesisauniqueconsultingteam.WeprideourselvesonbeingcustomerobsessedandhighlyfocusedontheAIenablementofourcustomers.IfyouhaveexperiencewithAI,includingbuildingMLorDLmodels,we’dliketohaveyoujoinourteam.Youwillgettoworkwithaninnovativecompany,withgreatteammates,andhavealotoffunhelpingourcustomers.IfyoudonotliveinamarketwherewehaveanopenDataScientistposition,pleasefeelfreetoapply.OurDataScientistscanliveinanylocationwherewehaveaWWPSProfessionalServiceoffice.We’relookingfortoparchitects,systemandsoftwareengineerscapableofusingMLandothertechniquestodesign,evangelize,andimplementstate-of-the-artsolutionsfornever-before-solvedproblems.Theprimaryresponsibilitiesofthisroleareto:·Designdataarchitecturesanddatalakes·ProvideexpertiseinthedevelopmentofETLsolutionsonAWS·UseMLtools,suchasAmazonSageMakerGroundTruth(GT)toannotatedata.WorkwithProfessionalServicesondesigningworkflowanduserinterfaceforGTannotation.·CollaboratewithourdatascientiststocreatescalableMLsolutionsforbusinessproblems·Interactwithcustomerdirectlytounderstandthebusinessproblem,helpandaidtheminimplementationoftheirMLecosystem·Analyzeandextractrelevantinformationfromlargeamountsofhistoricaldata—providehands-ondatawranglingexpertise·Workcloselywithaccountteam,researchscientistteamsandproductengineeringteamstodrivemodelimplementationsandnewalgorithms·Thispositioncanhaveperiodsofupto10%travel.AmazonisanEqualOpportunity-AffirmativeActionEmployer-Minority/Female/Disability/Vet DataScientist,STRX US,WA,Seattle JobsummaryTheNorthAmericanConsumablesorganizationisseekingaSr.DataScientisttodesign,evangelize,andimplementsolutionstoaddresscomplex,businessquestionsusingadvancedstatisticalandMachineLearning(ML)techniques,experimentation,andbigdata.YouwillworkwithEconomists,Scholars,BusinessIntelligenceEngineers,ProductManagers,andSoftwareEngineerstodesign,evaluate,interpret,andoptimizecontinuousexperimentationaswellastogenerateactionableinsightsfromtheexperimentdata.Youwillconductstatisticalanalyses,developMLmodels,andbuilddataanalysistoolstohelpscalenovelexperimentationandcausalinferenceapproachesgloballyacrossAmazon’sConsumerbusiness.Thisisaunique,highvisibilityopportunityforsomeonewhowantstoinnovate,haveabusinessimpact,dive-deepintoawiderangeofbusinessesandprogramsinAmazon,andworkcloselywithadiversesetofscience,business,andtechnicalstakeholders.WeareparticularlyinterestedincandidateswithapassionforandexperienceinbuildingstatisticalandMLmodels,applyingapproachesattheforefrontofindustryandacademicresearch,workingwithlargeamountsofdata,engaginginhealthydebateswithfellowscientists,andcommunicatingcomplexstatisticalanalysesandimplicationstobusinessleadersinanintuitiveandsimplifiedway.Someofthekeyresponsibilitiesforthisroleinclude:·Collaboratingwithourdedicatedsoftwareteamtocreateproductionimplementationsforlarge-scaledataanalysisand/orMLmodels.·Guidingandestablishingscalable,efficient,automatedprocessesforlargescaledataanalyses,modeldevelopment,modelvalidationandmodelimplementation.·Workingwithproductmanagers,softwareengineers,dataengineers,Economists,andotherscientiststodesign,develop,implement,refine,automate,andscalehighlyinnovativestatisticalandMLmodels.·Designingandimplementingexperimentationframeworksandevaluationmethodologiestoscalegloballyforthepurposeofmeasuringtheimpactofbusinessdecisionsonshort-andlong-termcustomerandfinancialresults.·Optimizinghowweofferselectiontoimprovethecustomerexperienceandbusinessresults. DataScientist,SCOTFulfillmentNetworkPlanning IN,KA,Bengaluru JobsummaryWhenyouorderitemsonAmazon,therearepracticallythousandsofwayswecanfulfillthatorder.WhichFulfillmentCenterdoweshiptheitemsfrom,whatcarrierstouse,whatboxestocombineitemsin-nowscalethesamequestiontobillionsofitemsshippedannuallyworldwide.AtAmazon'sSupplyChainOptimizationTechnologies(SCOT),wearetaskedwithoptimizingthefulfillmentoncustomerorderssothatwefulfillallordersworldwideinthemostintelligentmannerwhileensuringAmazoncustomersgettheirordersontime.TheFulfillmentNetworkPlanningteamownsandoperatessimulationsystemsthathelpcontinuallyoptimizethedistributionoftensofmillionsofproductsacrossAmazon’swarehousesinthemostcost-effectivemanner,utilizinglargescaleoptimizationtechniquesanddistributedcomputingintryingtoreduceoveralltransportationcostswhileimprovingthecustomerexperience.Wearefocusedonsavinghundredsofmillionsofdollarsusingbigdatatechnologies,cuttingedgescience,machinelearning,andscalabledistributedsoftwareonthecloudthatautomatesandoptimizesinventoryandshipmentstocustomersundertheuncertaintyofdemand,pricingandsupply.Watchhttp://bit.ly/amazon-scottogetthebigpicture.KeyjobresponsibilitiesWeseekapassionate,results-orientedandinventiveindividualtobepartofourvisioninournewestHQ3inIndia.Yourresponsibilitiesinclude:·Collaboratewithscientists,engineersandproductmanagerstoidentifythehighest-impactscienceprojectstosolvecustomerproblems.·Design,implementandtestsciencesolutionstodrivebusinessimpact.·Evaluatetheproposedsolutionsviaofflinesimulationsandverifyrecommendationsefficacythroughexperimentationinproduction.·PublishandpresentyourworkatinternalandexternalscientificvenuesinthefieldsofStatistics/ML/Optimization.·Workwithpeerscientiststoreviewthescienceproposalsandprovidefeedback.AbouttheteamTheFulfillmentNetworkPlanningteamownsandoperatesoptimizationandsimulationsystemstoguideAmazon'soutboundfulfillmentnetworkdesignandcapacityplanning.TheteamiscurrentlyspreadacrossAustin,TXandSeattle,WA,andwearelookingtoaddathirdHQinBangalore.Theteamismulti-disciplinedcomprisingofresearchscience,businessintelligence,productmanagementandsoftwaredevelopment.ComejoinusaswefundamentallyredesignourapproachtoAmazonfirst-partyfulfillment. Manager,AppliedScience,FulfillmentAI US,WA,Seattle JobsummaryOntheFulfillmentAITeamweworkonavarietyofproblemswithinourAmazonFulfillmentCenters.Weoperateatanexusofmachinelearning,computervision,robotics,andhealthymeasureofhard-earnedexpertiseinoperationstobuildautomated,algorithmicapproachestosolvingtheseproblems.Wecreatecuttingedgesoftware,buildingautomatedprocessesandworkflowsinthemostcomplexoperationalproblemspaceinthebusinessworld.Oursolutionsdrivenewsystemcapabilitieswithglobalimpact.We'relookingforanappliedsciencemanagertojoinourteamandhelpuscontinuetogrow.Majorresponsibilities:·Leadateamofscientistsandprogrammanagersusingmachinelearning,dataminingandstatisticaltechniquestocreatenew,scalablesolutionsforbusinessproblems·AnalyzeandextractrelevantinformationfromlargeamountsofAmazon’shistoricalbusinessdatatohelpautomateandoptimizekeyprocesses·Design,developandevaluatehighlyinnovativemodelsforpredictivelearning·Establishscalable,efficient,automatedprocessesforlargescaledataanalyses,modeldevelopment,modelvalidationandmodelimplementation·Researchandimplementnovelmachinelearningandstatisticalapproaches·Identifycombinedhardware/softwaresolutionstoproblemsinthephysicaloperationsspaceKeyjobresponsibilities·Leadateamofscientistsandprogrammanagersuisngmachinelearning,dataminingandstatisticaltechniquestocreatenew,scalablesolutionsforbusinessproblems·AnalyzeandextractrelevantinformationfromlargeamountsofAmazon’shistoricalbusinessdatatohelpautomateandoptimizekeyprocesses·Design,developandevaluatehighlyinnovativemodelsforpredictivelearning·Establishscalable,efficient,automatedprocessesforlargescaledataanalyses,modeldevelopment,modelvalidationandmodelimplementation·Researchandimplementnovelmachinelearningandstatisticalapproaches·Identifycombinedhardware/softwaresolutionstoproblemsinthephysicaloperationsspaceAbouttheteamTheFulfillmentAI(FAI)TeamisanappliedscienceteamunderAmazonFulfillmentTechnologies(AFT).Ourteamofscientistsworkonresearchprojects,developingprototypeswhichleadtoproductionsystemsthatenhance,optimize,andautomateprocessesinourFulfillmentCenters(FCs).Weinfluenceeachstageofinnovationfrominceptiontodeploymentandmaydevelopnovelsolutionsorimprovementstoexistingapproaches.Resultingproductionsystemsrelyonadiversesetoftechnologies,foremostofwhicharecomputervisionandmachinelearning,butalsoincludedarestatistics,mathematicaloptimization,adforecasting.Ourteamthereforeinvestsinmultiplespecialtiesastheneedsofeachfocusareaevolve. SeniorCV/MLAppliedScientist,SpecialProjects US,CA,Sunnyvale JobsummaryWeareateamofbuildersworkingpassionatelytosolvereal-worldproblemsthattouchbillionsofpeoplebyharnessingcutting-edgetechnologies.Ourteamrewardscuriositywhilemaintainingalaserfocusonbuildingandlaunchingproductstomarket.WearelookingforanexceptionalAppliedScientistwithcoreexpertiseincomputervisionandmachinelearningtojoinusaswearebuildingthecorefoundingteam.Competitivecandidatesareresponsive,flexible,andabletosucceedwithinanopen,collaborative,entrepreneurial,startup-likeenvironment.Beingpartoftheteam,youhavetheopportunitytoworktogetherwithadiverseandtalentedteamofscientists,engineers,andproductmanagerstobuildsomethinggroundbreakingandmeaningful.ResponsibilitiesAsanAppliedScientist,youwillspearheadtheefforttoidentifyandsolvevariouscomplextechnicalchallengesincomputervisiontohelpenableafirst-of-its-kindcustomerexperience.Youwillplayanactiveroleintranslatingbusinessandproductrequirementsintoconcretedeliverablesinyourdomain.Youwillbepartofthefoundingteamtobuildquickprototypesandproofsofconcepttodemonstratesubstantiallybetterexperiencesthanpeoplehaveaccesstotoday.Youwilllayoutthegroundworkinmachinelearning,acoreareaoffocusinthisprogram.Youwillpartnerwithotherscience,engineering,andproductleaderstoinfluencethetechnologyandproductroadmap.Youshouldbewellversedintherelevantliteratureandhavetheabilitytoidentify,analyze,andadaptnewstate-of-the-artmethodsaswellasbeyondtocreatenewproblem-solutionpairstobuildbreakthroughs.YouwillhavetheopportunitytoworkwithothertechnicalteamsatAmazonwithinandoutsidetheorganization.Youshouldbecomfortablewithahigherdegreeofambiguitythanmostprojectsandrelishtheideaofsolvingproblemsthathaven’tbeendreamedupandmuchlesssolvedatscalebefore-anywhere.Alongtheway,you’lllearnaton,havefunandmakeapositiveimpactatscale.AtAmazon,weembraceourdifferences.Wearecommittedtofurtheringourcultureofinclusion.Wehavetenemployee-ledaffinitygroups,reaching40,000employeesinover190chaptersglobally.Wehaveinnovativebenefitofferingsandhostannualandongoinglearningexperiences,includingourConversationsonRaceandEthnicity(CORE)andAmazeCon(genderdiversity)conferences.Amazon’scultureofinclusionisreinforcedwithinour14LeadershipPrinciples,whichremindteammemberstoseekdiverseperspectives,learnandbecurious,andearntrust.Ourteamputsahighvalueonwork-lifebalance.Itisn’tabouthowmanyhoursyouspendathomeoratwork;it’sabouttheflowyouestablishthatbringsenergytobothpartsofyourlife.Webelievestrikingtherightbalancebetweenyourpersonalandprofessionallifeiscriticaltolife-longhappinessandfulfillment.Weofferflexibilityinworkinghoursandencourageyoutofindyourownbalancebetweenyourworkandpersonallives.Ourteamisdedicatedtosupportingnewmembers.Wehaveabroadmixofexperiencelevelsandtenures,andwe’rebuildinganenvironmentthatcelebratesknowledgesharingandmentorship.Ourseniormembersenjoyone-on-onementoring.Wecareaboutyourcareergrowthandstrivetoassignprojectsbasedonwhatwillhelpeachteammemberdevelopintoabetter-roundedengineerandenablethemtotakeonmorecomplextasksinthefuture. Sr.AppliedScientist,SellerPrioritizationandOptimization US,WA,Seattle JobsummaryAreyoupassionatetojoinaninnovativeteamofscientistswhousemachinelearningandstatisticaltechniquestocreatestate-of-the-artsolutionstohelpsellersucceedonAmazon?TheSellerPrioritizationandOptimizationorgislookingforaSeniorAppliedScientisttoleadusonourmissiontorecruitallthebrandsintheworldtosellonAmazon,whileempoweringthemtogrowtheirbusinessandprovideagreatcustomerexperience.SellingonAmazonisoneofthefastestgrowingbusinessesatAmazon.comandempowersmillionsofentrepreneursworldwide.Todrivethisunprecedentedscale,ourentrepreneurialteamofsalesreps,accountmanagers,productmanagers,andsoftwareengineerscontinuouslyinventnewwaystoscaleandraisethebarforoursellingpartnersthroughautomation.AsaSr.Appliedonourteamofscientists,engineers,andproductmanagers,youwillhaveopportunitiestocreatesignificantimpactonoursystems,ourbusinessandmostimportantly,ourcustomersaswetakeonchallengesthatcanrevolutionizethee-commerceindustry.YouwillexposeandmeasurecurrentSellingPartnerRecruitmentandDevelopmentperformance.Youwillidentifyspecificandactionableopportunitiestosolveexistingbusinessproblems,andcollaboratewithengineering,research,andbusinessteamsforfutureinnovation.Youneedtobeasophisticateduserofadvancedquantitativetechniquesanddatavisualizationforansweringspecificbusinessquestions,andanexpertatsynthesizingandcommunicatinginsightsandrecommendationstoaudiencesofvaryinglevelsoftechnicalsophistication.Majorresponsibilities·Usestatisticalandmachinelearningtechniquestocreatescalablerecommendationsystems·AnalyzeandextractrelevantinformationfromlargeamountsofAmazon'shistoricalbusinessdatatohelpautomateandoptimizekeyprocesses·Design,developmentandevaluationofhighlyinnovativemodelsforpredictivelearning·Workcloselywithsoftwareengineeringteamstodrivereal-timemodelimplementationsandnewfeaturecreations·Workcloselywithoperationsstafftooptimizevariousbusinessoperations,·Establishscalable,efficient,automatedprocessesforlargescaledataanalyses,modeldevelopment,modelvalidationandmodelimplementationToknowmoreaboutAmazonscience,Pleasevisithttps://www.amazon.science About Researchareas Blog Newsandfeatures Publications Conferences Collaborations Careers AlexaPrize Academics ResearchAwards AmazonDeveloper AmazonWebServices AboutAmazon Newsletter RSS GetmorefromAmazonScience Signupforournewsletter Subscribe Amazon.com|ConditionsofUse|Privacy|©1996-2022Amazon.com,Inc.oritsaffiliates FollowUs twitter instagram youtube facebook linkedin