About this role
Lead applied research and machine learning efforts end-to-end on major capability areas, taking ambiguous problems through hypothesis, experimentation, and models that run in production. Work hands-on on modeling and partner closely with engineers and product managers to productionize models, build evaluation pipelines, and apply responsible AI practices.
Skills for this role
Applied machine learningMachine learning theoryModel developmentModel evaluationModel deploymentProduction MLPythonModern ML frameworksTraining infrastructureInferenceData readinessObservabilityExperimentationAblation studiesError analysisEvaluation pipelinesOnline experimentationRobustness testingReproducibilityDocumentationResponsible AIBias detectionModel risk managementHuman-in-the-loop controlsComputer visionMultimodal MLGenerative AIRetrieval augmented generationAgentic workflowsTime series analysis and forecasting (time series)