Machine Learning Engineer

Abouttherole

Weareseekingahigh-impact,technicallydeep

Machine Learning Engineertodevelop ,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

• End-to-End Model Development : OwnthefullMLlifecycle,includingdatastrategy,preprocessing,training,evaluation,optimization,deployment,and monitoring.
• Autonomous Driving Models : Developandimprovemodelssupportingperception,prediction,planning,andsceneunderstanding.
• Efficient Neural Network Design : Optimizemodelsusingtechniquessuchasquantization,pruning,sparsification,compression,andefficientarchitecturedesigntomeetstrictlatency,compute,memory,andpowerconstraints.
• Real-Time Deployment: IntegratetrainedmodelsintoC++-basedautonomysystemsandoptimizeinferenceforproductionvehiclehardware.
• Model Optimization: ProfileandoptimizeneuralnetworksusingCUDA,TensorRT,andrelatedtechnologies.
• Simulation and Evaluation: Analyzemodelperformanceusingsimulationandreal-worlddrivingdata,identifyfailuremodes,anddriveimprovements.
• ScalableMLInfrastructure: Buildhigh-throughputpipelinesfortraining,evaluation,data processing,andlarge-scaleofflineinference.
• Data Workflow sand Tooling : Developreliablepipelinesfordatasetcuration,annotation,preprocessing,visualization,diagnostics,benchmarking,andcontinuousfeedbackfromfielddata.
• Cross-Functional Integration: Partnerwithautonomy,systems,hardware,andinfrastructureteamstoensureMLcomponentsintegratereliablyintothebroadervehicleplatform.

Whatwe’relookingfor

• Education: MSor Ph Din Computer Science ,Machine Learning,Robotics,Electrical Engineering,Statistics,Optimization,orarelatedfield.
• Experience: Opentoallexperiencelevels.
  
  Levelingwillbedeterminedbasedonexperienceandtechnicaldepth.
• Programming&Frameworks:
• Strong Pythonskillsandexperiencewithframeworkssuchas Py Torchor Tensor Flow .
• StrongC++skillsandexperienceintegratingMLmodelsintohigh-performanceproductionsystems.
• CoreML&Systems Expertise:
• DeepunderstandingofMLworkflows,includingdatacuration,training,evaluation,ablationstudies,deployment,andinferenceoptimization.
• Experiencedeployingandoptimizingneuralnetworksforreal-time,embedded,robotics,autonomousdriving,orotherperformance-constrainedsystems.
• Experiencewithmodeloptimizationtechniquessuchasquantization,pruning,compression,andefficientarchitectures.
• Experiencewithsoftwarearchitecture,profiling,latency optimization,system-leveldebugging,anddataflowanalysis.
• Infrastructure&Compute Tools:
• ExperiencewithCUDAandTensorRTishighlydesirable.
• Experiencewithcloud-basedMLtrainingandevaluationpipelines,preferably
  
  Azure.

Bonus

Qualifications:

• Experiencewithtransformers,multimodal models,diffusionmodels,worldmodels,orend-to-enddrivingmodelsisaplus.
• Experienceinautonomousdriving,robotics,orothersafety-criticalreal-timeMLsystemsisstronglypreferred.
• PublicationsordemonstratedtechnicalcontributionsinefficientML,autonomousdriving,robotics,orrelatedareasareaplus.
• Priorcontributionstolarge-scaleMLsystemsdeployedinproduction.

Salary Range $170,000-$240,000

We have an opening for a Machine Learning Engineer in Santa Clara, CA, United States within IT & Technology, Engineering.

Learn more about the Machine Learning Engineer role in the description above.

We appreciate your interest in this position.

Join Gatik AI and contribute to our ongoing work.