Advanced Machine Learning Engineer at Serve Robotics

Innovate urban delivery solutions with Serve Robotics as a Lead Machine Learning Engineer. Focus on developing large-scale training systems for multimodal robotics data and improve autonomy models. Serve Robotics is seeking a skilled expert to enhance our autonomous delivery systems. This role requires at least five years of experience in machine learning and a strong foundation in neural networks and distributed training. Collaborate with diverse teams to optimize training efficiencies and contribute to groundbreaking robotics solutions across major cities! Key Responsibilities:

• Design training systems for petabyte-scale multimodal datasets
• Optimize GPU utilization and resolve training bottlenecks
• Collaborate with ML team on neural network architecture
• Create effective loss functions and training strategies
• Implement scalable preprocessing systems for robotics data

Requirements:

• Master’s or PhD in relevant technical field
• 5+ years of machine learning experience in production
• Experience with multiple GPUs and distributed frameworks
• Proficiency in Python for data pipelines
• Deep understanding of neural networks and training methodologies

Enhance urban delivery technology by leveraging your machine learning expertise to create impactful autonomous solutions at Serve Robotics. #J-18808-Ljbffr