Machine Learning Engineer
Gatik
Weareseekingahigh-impact,technicallydeepMachineLearningEngineertodevelop,optimize,anddeployproductionMLmodelsacrossourautonomousvehicle(AV)stack.Thisroleisidealforengineerswhoenjoybuildingmodelsend-to-end-fromdataandtrainingthroughoptimizationandreal-timedeploymentonautonomousvehicles.
You will work closely with perception, prediction, planning, infrastructure, systems, and hardware teams to ensure models are efficient, scalable, reliable, and production-ready for both on-vehicle and cloud workflows.
This role is onsite 5 days a week at our Santa Clara, CA office!
Whatyou'lldo
- AutonomousDrivingModels: Developandimprovemodelssupportingperception,prediction,planning,andsceneunderstanding.
- EfficientNeuralNetworkDesign: Optimizemodelsusingtechniquessuchasquantization,pruning,sparsification,compression,andefficientarchitecturedesigntomeetstrictlatency,compute,memory,andpowerconstraints.
- ModelOptimization: ProfileandoptimizeneuralnetworksusingCUDA,TensorRT,andrelatedtechnologies.
- SimulationandEvaluation: Analyzemodelperformanceusingsimulationandreal-worlddrivingdata,identifyfailuremodes,anddriveimprovements.
- ScalableMLInfrastructure: Buildhigh-throughputpipelinesfortraining,evaluation,dataprocessing,andlarge-scaleofflineinference.
- DataWorkflowsandTooling: Developreliablepipelinesfordatasetcuration,annotation,preprocessing,visualization,diagnostics,benchmarking,andcontinuousfeedbackfromfielddata.
- Cross-FunctionalIntegration: Partnerwithautonomy,systems,hardware,andinfrastructureteamstoensureMLcomponentsintegratereliablyintothebroadervehicleplatform.
Whatwe'relookingfor
- Education: MSorPhDinComputerScience,MachineLearning,Robotics,ElectricalEngineering,Statistics,Optimization,orarelatedfield.
- Experience: Opentoallexperiencelevels.Levelingwillbedeterminedbasedonexperienceandtechnicaldepth.
- Programming&Frameworks:
- StrongPythonskillsandexperiencewithframeworkssuchasPyTorchorTensorFlow.
- CoreML&SystemsExpertise:
- Experiencedeployingandoptimizingneuralnetworksforreal-time,embedded,robotics,autonomousdriving,orotherperformance-constrainedsystems.
- Experiencewithmodeloptimizationtechniquessuchasquantization,pruning,compression,andefficientarchitectures.
- Experiencewithsoftwarearchitecture,profiling,latencyoptimization,system-leveldebugging,anddataflowanalysis.
- Infrastructure&ComputeTools:
- ExperiencewithCUDAandTensorRTishighlydesirable.
- Experiencewithcloud-basedMLtrainingandevaluationpipelines,preferablyAzure.
BonusQualifications:
- Experiencewithtransformers,multimodalmodels,diffusionmodels,worldmodels,orend-to-enddrivingmodelsisaplus.
- Experienceinautonomousdriving,robotics,orothersafety-criticalreal-timeMLsystemsisstronglypreferred.
- PublicationsordemonstratedtechnicalcontributionsinefficientML,autonomousdriving,robotics,orrelatedareasareaplus.
- Priorcontributionstolarge-scaleMLsystemsdeployedinproduction.
Vacancy posted 4 days ago
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