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 experience ...