Physics Informed Neural Networks Data Jobs

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Today

Machine Learning Engineer

Optimal Inc. Warren, MI

Warren, MI

Today

Full time Ai Ml Artificial Intelligence Data Science

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Job Description

Optimal Inc. is hiring a Machine Learning Engineer to build AI models that blend physical principles with multimodal data to simulate complex systems and forecast real-world behavior.

Responsibilities

Develop and implement Physics-Informed Neural Networks (PINNs) and physics-informed machine learning models.
Build multimodal models that integrate data types including images, sensor measurements, time-series inputs, and simulation outputs.
Develop predictive world models to learn system dynamics, simulate environments, and forecast future states.
Combine physics-based simulations with data-driven machine learning techniques.
Validate model accuracy, physical consistency, and performance using real-world or simulated datasets.

Requirements

Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Physics, Engineering, or a related field.
Hands-on experience with PINNs or scientific machine learning.
Experience in multimodal modeling and/or world model development.
Strong Python programming skills, with experience using PyTorch or TensorFlow.
Knowledge of neural networks, physical systems, numerical methods, or simulation.

Technologies

Python
PyTorch
TensorFlow

Preferred Qualifications

Research or industry experience in automotive, robotics, autonomous systems, or physical AI.
Experience with sensor fusion, differential equations, simulation, or predictive dynamics models.
Relevant research publications or project experience.

Location & Work Mode

Warren, MI (onsite)

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