Lead Machine Learning Engineer
Core
Develops and scales large-scale machine learning training systems for multimodal robotics data to enable high-performance autonomy models.
Role type
Senior IC machine learning engineer (robotics training infrastructure)
Builds
Large-scale distributed training pipelines and autonomy models for sidewalk delivery robots
Domain
Robotics + Machine Learning
Deliverable
production ML models
Required skills
distributed training, neural network architecture design, loss function optimization, GPU cluster management, Python, multimodal data processing, training pipeline debugging
Preferred skills
robotics/autonomous driving dataset experience, multimodal sensor fusion (video/LiDAR/radar), peer-reviewed publications
Technologies
Python, GPU clusters, distributed training frameworks
Responsibilities
Design and maintain training systems for petabyte-scale multimodal datasets; identify and resolve bottlenecks in data loading, preprocessing, and model computation; configure and monitor large-scale distributed training jobs; develop tools for experiment tracking and rapid iteration; analyze training metrics to guide model improvements
Seniority
Senior, hands-on IC
