Machine Learning Engineer

Weareseekingahigh-impact,technically deep

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

• Autonomous Driving Models :Developandimprovemodelssupportingperception,prediction,planning,andsceneunderstanding.
• Efficient Neural Network Design :Optimizemodelsusingtechniquessuchasquantization,pruning,sparsification,compression,andefficientarchitecturedesigntomeetstrictlatency,compute,memory,andpowerconstraints.
• 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 .
• CoreML&Systems Expertise:
• Experiencedeployingandoptimizingneuralnetworksforreal-time,embedded,robotics,autonomous driving,orotherperformance-constrained systems.
• Experiencewithmodeloptimizationtechniquessuchasquantization,pruning,compression,andefficientarchitectures.
• Experiencewithsoftwarearchitecture,profiling,latency optimization,system-level debugging,anddataflowanalysis.
• Infrastructure&Compute Tools:
• ExperiencewithCUDAandTensorRTishighlydesirable.
• Experiencewithcloud-basedMLtrainingandevaluationpipelines,preferably
  
  Azure.

Bonus

Qualifications:

• Experiencewithtransformers,multimodal models,diffusion models,world models,orend-to-enddrivingmodelsisaplus.
• Experienceinautonomousdriving,robotics,orothersafety-critical real-timeMLsystemsisstronglypreferred.
• PublicationsordemonstratedtechnicalcontributionsinefficientML,autonomous driving,robotics,orrelatedareasareaplus.
• Priorcontributionstolarge-scaleMLsystemsdeployedinproduction.

For the Machine Learning Engineer position at Gatik, we are reviewing applications now.

This opportunity is part of our work in IT & Technology, Engineering.

The advertised compensation is 140..

We aim to respond to suitable candidates as soon as possible.

Full responsibilities and requirements are described in the listing above.