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About the Role
Shape the future of logistics with Serve Robotics as a Senior Machine Learning Engineer. Engage in developing advanced systems for autonomous delivery that enhances city living.
This role demands an experienced engineer to scale machine learning models for multimodal autonomous deliveries. You will focus on optimizing training systems, working with cutting-edge robotics data, and collaborating with cross-functional teams to enhance model autonomy and efficiency. Your contributions will directly influence the user experience in cities across the US.
Key Responsibilities:
• Optimize training systems for large multimodal datasets
• Collaborate on neural architecture suited for autonomy
• Implement efficient data processing and loading
• Maintain and adjust large-scale distributed training
• Track model performance through metric analysis
Requirements:
• Master’s or PhD in Computer Science, Robotics, or related
• 5 years plus in machine learning deployments
This role demands an experienced engineer to scale machine learning models for multimodal autonomous deliveries. You will focus on optimizing training systems, working with cutting-edge robotics data, and collaborating with cross-functional teams to enhance model autonomy and efficiency. Your contributions will directly influence the user experience in cities across the US.
Key Responsibilities:
• Optimize training systems for large multimodal datasets
• Collaborate on neural architecture suited for autonomy
• Implement efficient data processing and loading
• Maintain and adjust large-scale distributed training
• Track model performance through metric analysis
Requirements:
• Master’s or PhD in Computer Science, Robotics, or related
• 5 years plus in machine learning deployments
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