Job Description
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 ...
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 ...
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