Develops cutting-edge perception models using fused sensor data for autonomous vehicles, focusing on joint detection/tracking and embeddings for downstream systems. Requires MS/PhD in CS, PyTorch experience, and production deployment skills.
242k – 290k/yr
HybridML Engineering
About the role
Responsibilities
Train ML models, perform various studies into incorporating SOTA approaches as well as ablations/modifications of existing models
Document experimental outcomes and drive towards deploying these models into Zoox robots
Visualize your data at the input and output to understand the issues
Collaborate with teams such as ML optimization, data labeling, metrics and planner to ensure project is successful for Zoox releases
Qualifications
MS/PhD in Computer Science or related field
Experience with PyTorch or related ML frameworks
Experience deploying learned models into production
Excellent collaboration and teamwork skills with proven track record of working on large-scale problems
Bonus Qualifications
Prior experience in the AV or related space with joint detection and tracking models
Deep understanding of how to setup end-to-end training and evaluation processes
Skills
PyTorchMachine LearningComputer VisionSensor FusionModel DeploymentJoint Detection And TrackingEnd-To-End TrainingAutonomous Vehicles
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