ML Engineer II

Job Summary

A company is looking for an ML Engineer II, World Models.

Key Responsibilities

• Develop multimodal world-model architectures for short-horizon predictions using various sensor data
• Build and maintain training pipelines for dataset construction and model evaluation
• Optimize models for edge deployment and collaborate with teams to integrate and validate the world model

Required Qualifications

• Bachelor's or Master's degree in Robotics, Computer Science, Electrical Engineering, or related field (PhD a plus)
• 3+ years of experience in building and training deep learning models in robotics or perception
• Strong proficiency with PyTorch and modern training workflows
• Experience with multimodal sensor data and temporal models