AI research engineer

XxxxxxxisanEuropeandeep-techstartupbuildinganewinfrastructurelayerfor AI-powered softwaresystems. Our corebeliefissimple,AI doesnotprimarilysufferfromalackof models,itsuffersfroma lackof reliable,structuredandgovernedcontext. Today’sLLMsoperateon limited,staticcontextwindows,oftendisconnectedfromreal-world softwaresystems.Thisresultsinhallucinations,brittleautomation,technicaldebtamplification andpreventstrueAI autonomy. Wearebuildingacontextintelligenceplatformfor codeandsoftwaresystems,designedto aggregate,structureandexposestatic,historicalanddynamiccontext,comingfromsourcecode, architectures,businesslogic,runtimebehavior,logs,incidents,supportticketsandoperational signals. Thiscontextbecomesinfrastructure,consumableby humansandby AI systems. Our technicalplayground AtXxxxxxx,AI isnotaproductfeature. Itisthecoresystem. Our work spansacrosshigh-impact,research-gradetopics,including: Advanced semantic representations of source code and large-scale software systems Alignment between human intent, actual source code and runtime behavior Agent orchestration powered by governed, high-fidelity context Scaling AI systems in mission-critical enterprise environments Xxxxxxx is an agnostic to any AI Models service provider and any vector database provider Weoperateattheintersectionof AI research,softwareengineering,systemsdesignandreal- worldproductionconstraints. KeyResponsibilities Webelievethatthebestresearchisdrivenby strongengineeringfoundations.As partof theAI researchteam,you willoperateacrossthefulllifecycleof advancedmachinelearningsystems, fromideationtoproductiondeployment,withastrongemphasison robustness,precisionand real-worldimpact.Your responsibilitiesinclude: Researchandmodeling Design,trainanditerateon neuralrepresentationsoptimizedfor similaritysearch, includingdense,hybridandmulti-vectorapproaches Researchandimplementsemanticvectorizationtechniquesfor high-value,high-signal content,includingstructureddata,unstructureddataandcode-relatedartifacts Explorenovelembeddingstrategiesthatcapturesemanticintent,structureandbehavior, notjustsurface-levelsimilarity Investigatetrade-offsbetweenembeddingdimensionality,expressiveness,latencyand cost Continuouslyimproveprecisionandrecallinlarge-scalevectorsearchsystems Developevaluationprotocolsandbenchmarksfor similarity,relevanceandcontextual accuracy Contextualizationof dataintocode-centricrepresentations Improvecontentpolarization,aligninggenericdatatowardprecisesoftwareconstructs suchasmodules,functions,services,domainsor businesscomponents Designrepresentationsthatenablecontext-awarereasoningfor AI agentsoperatingon Codebases Ensurestrongalignmentbetweensemanticembeddings,codestructureandruntime behavior Buildresearchcodethatsupportsfastiteration,reproducibilityandcollaborative experimentation Own modelperformanceend-to-end,evaluationquality,trainingefficiency,inference latencyandscalability Partnercloselywithproductandplatformteamstodeployresearchoutputsinto productionsystems Contributetointernaltools,frameworksandbestpracticesthataccelerateresearch velocity Shareinsights,experimentsandfailuresclearlywiththeteam Staycurrentwiththestateoftheartinrepresentationlearning,retrievalsystemsand appliedAI research AtXxxxxxx,researchisnotisolatedfromreality.Youareexpectedtothinkdeeply,experiment boldlyandshipresponsibly,withyourworkdirectlyshapinghow AI systemsunderstand, navigateandreasonovercomplexsoftwaresystemsatscale. RequiredQualifications Strongfundamentalsof softwareengineering Strongknowledgeof Python,anditsMLframeworks Experiencewith: Fulllifecycleof AI modeldevelopment DevelopingnewMLmethods,algorithmsandmodels #J-18808-Ljbffr