Build and scale machine learning systems that power intelligent robots, focusing on locomotion, perception, manipulation, navigation, and human-robot interaction
Job Summary
Build and scale machine learning systems that power intelligent robots, focusing on locomotion, perception, manipulation, navigation, and human-robot interaction.
Design and maintain infrastructure for training, evaluating, and deploying ML models, ensuring robustness, efficiency, and scalability from prototype to production.
Work at the intersection of machine learning and systems engineering to optimize ML training and deployment systems for robotic hardware with strict latency requirements.
Matching Summary
Build and scale machine learning systems that power intelligent robots, focusing on locomotion, perception, manipulation, navigation, and human-robot interaction.
Salary
184,900.00 - 250,200.00 USD annually
Skills & Requirements
Must-have
ML training infrastructure
distributed training pipelines
GPU cluster management
experiment tracking systems
model versioning
deployment infrastructure for serving ML models
optimize model inference for edge devices
Nice-to-have
intersection of machine learning and systems engineering
accelerate path from experimentation to production