Description:

Lead the development and scaling of large-scale machine learning training systems for multimodal robotics data.
Collaborate with ML researchers and infrastructure teams to enhance end-to-end autonomy models and data pipelines.

Requirements:

Master’s or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related field.
Minimum of 5 years of experience in developing, training, and deploying machine learning models in production.
Proficient in Python and familiar with distributed training frameworks and large dataset handling.
Strong understanding of neural networks, optimization algorithms, and training methodologies.

Skills