Opportunity Description
Shape the future of urban deliveries with Serve Robotics as a Lead Machine Learning Engineer. Enhance large-scale training systems to optimize multimodal robotics data and develop high-performance autonomy models.
Serve Robotics is on a mission to transform city deliveries through robotics and AI. This senior role focuses on designing training systems that efficiently process large datasets while working collaboratively with the ML team to optimize neural network architectures. You'll be at the forefront of improving model performance and GPU utilization, making a significant impact in the realm of robotic deliveries.
Key Responsibilities:
• Design systems for petabyte-scale multimodal dataset processing
• Resolve bottlenecks in training pipelines and maximize GPU utilization
• Develop neural network architectures for high-dimensional sensor data
• Create effective loss functions and training strategies
• Monitor and manage large-scale distributed training tasks
Serve Robotics is on a mission to transform city deliveries through robotics and AI. This senior role focuses on designing training systems that efficiently process large datasets while working collaboratively with the ML team to optimize neural network architectures. You'll be at the forefront of improving model performance and GPU utilization, making a significant impact in the realm of robotic deliveries.
Key Responsibilities:
• Design systems for petabyte-scale multimodal dataset processing
• Resolve bottlenecks in training pipelines and maximize GPU utilization
• Develop neural network architectures for high-dimensional sensor data
• Create effective loss functions and training strategies
• Monitor and manage large-scale distributed training tasks
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