Remote Physics-Informed ML Architect for Robotics

FieldAI; Irvine (CA); Hybrid; USD 70,000 - 200,000; Full time

Benefits offered by this job

Generous salary range

Opportunities for remote work

Innovative work environment

Job summary

A leading robotics technology company in Irvine, CA is seeking a Physics-Informed Machine Learning Engineer to develop hybrid physics-ML models and work on advanced autonomous systems. The ideal candidate has a Ph.D. or M.S. in a relevant field and experience in integrating physical laws into machine learning models. This position offers a competitive salary and the possibility of hybrid or remote work arrangements.

Qualifications

• Track record of combining physics-informed machine learning techniques.
• Practical experience applying them to robotic systems.
• Experience integrating physical constraints into machine learning architectures.

Responsibilities

• Develop hybrid physics-ML models for robotics solutions.
• Design physics-informed architectures to solve complex robotic systems.
• Lead research in physics-informed learning for robot control.

Skills

Physics-informed machine learning

Robotic systems

Programming

Differentiable programming

Education

Ph.D. or M.S. in Computer Science, Physics, Applied Mathematics

Tools

PyTorch

JAX

Python

C++

Job description

A leading robotics technology company in Irvine, CA is seeking a Physics-Informed Machine Learning Engineer to develop hybrid physics-ML models and work on advanced autonomous systems. The ideal candidate has a Ph.D. or M.S. in a relevant field and experience in integrating physical laws into machine learning models. This position offers a competitive salary and the possibility of hybrid or remote work arrangements.