ML Research Engineer - Physics - Informed AI

Apple's ML-Physics team in Israel is looking for an ML Engineer to join a research-oriented group developing physics-informed neural networks for advanced sensing and optical measurement systems. The role focuses on training, validating, and improving neural network models that combine data-driven learning with physical modeling, simulation, and experimental measurements.

Description

Apple designs consumer electronics that have touched millions and changed the way people interact with electronic devices around the world. The ML-Physics team works at the intersection of machine learning and physics, building models that leverage both data-driven learning and deep physical understanding to solve complex sensing and optical measurement challenges.

Minimum Qualifications

MSc or PhD in Computer Science, Electrical Engineering, Physics, Applied Mathematics, or a related field
Hands-on experience with machine learning and deep learning
Proficiency in Python and PyTorch or a similar deep learning framework
Strong communication skills and proficiency in English
Ability to work well in a collaborative, highly cross-functional, and fast-paced environment

Preferred Qualifications

Solid understanding of physics and the ability to apply physical principles to machine learning problems
Strong understanding of optimization, model training, validation, and debugging of neural networks
Experience with scientific computing libraries such as NumPy, SciPy, pandas, or similar tools