Machine Learning Engineer (Physics-based)

Root Access is seeking a Machine Learning Engineer to build predictive models for electronic systems. You will develop automated simulation pipelines, generate training data, and create models informed by physics principles. This role offers a unique opportunity to bridge hardware engineering and machine learning to accelerate electronics development.

• Develop physics-informed machine learning models
• Build automated simulation and data generation pipelines
• Incorporate physical constraints into model architectures
• Validate models against simulations and experimental results
• Strong Python and PyTorch/JAX experience
• Experience with scientific/engineering ML applications