Software Engineer, Planner Reasoning, ML Infrastructure
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The role
Develop data tooling and infrastructure to inspect, filter, and curate data for ML training and evaluation in planner reasoning.
Build offboard ML training pipelines and scalable data processing to unblock experimentation and production deployment.
Manipulate and analyze large datasets, implement data-driven evaluation methods, and create meaningful metrics.
Collaborate with perception, research, simulation, and evaluation teams to integrate reasoning logic into ML models.
Prototype novel data-driven approaches and deploy solutions to open-ended problems in a fast-moving environment.
Stay current with the latest data-centric ML techniques and contribute to scalable evaluation workflows.
Build offboard ML training pipelines and scalable data processing to unblock experimentation and production deployment.
Manipulate and analyze large datasets, implement data-driven evaluation methods, and create meaningful metrics.
Collaborate with perception, research, simulation, and evaluation teams to integrate reasoning logic into ML models.
Prototype novel data-driven approaches and deploy solutions to open-ended problems in a fast-moving environment.
Stay current with the latest data-centric ML techniques and contribute to scalable evaluation workflows.
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