Lead Machine Learning Engineer
Core
Develops and scales large-scale machine learning training systems for multimodal robotics data to enable high-performance autonomy models for sidewalk delivery robots.
Role type
Senior IC machine learning engineer (robotics training infrastructure)
Builds
Production training pipelines and autonomy models for sidewalk delivery robots
Domain
Robotics, autonomous delivery, multimodal sensor fusion
Deliverable
production ML models
Required skills
distributed training frameworks, Python, neural network architecture design, loss function optimization, GPU cluster management, multimodal data preprocessing, experiment tracking, fault tolerance systems
Preferred skills
robotics or autonomous driving dataset training, multimodal sensor fusion (video/LiDAR/radar), peer-reviewed publications in ML/robotics
Technologies
Python, GPU clusters, distributed training frameworks, multimodal data pipelines
Responsibilities
Design and maintain training systems for petabyte-scale multimodal datasets; Identify and resolve bottlenecks in training pipelines to maximize GPU utilization; Develop and refine neural network architectures for autonomy tasks; Create and adjust loss functions and training strategies; Configure and monitor large-scale distributed training jobs; Implement scalable systems for dataset preprocessing and augmentation; Integrate new models and experiments into production pipelines; Analyze training metrics and experiment logs to guide improvements
Seniority
Senior, hands-on IC