Join Serve Robotics as a Lead Machine Learning Engineer, where you will pioneer advanced training systems for multimodal robotics applications. This position addresses real-world delivery challenges in major urban areas.
In this pivotal role, you will develop large-scale machine learning systems to expedite robotic deliveries. Your work will involve creating efficient training pipelines, collaborating closely with ML researchers, and optimizing architectures for real-world robotics. You'll play a critical role in shaping the future of urban mobility through cutting-edge technology.
Key Responsibilities:
• Create and maintain multimodal training systems
• Identify and eliminate training pipeline bottlenecks
• Develop and refine neural network architectures
• Configure large-scale distributed training environments
• Analyze training metrics for continuous improvement
Requirements:
• Master’s or PhD in relevant technical discipline
• At least 5 years experien...