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# Machine Learning Engineer

- **Company:** Root, Inc.
- **Location:** New York, United States
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Machine Learning, Tensorflow, Surrogate Models, Information Technology, Engineering Base, Data Generation
- **Published:** October 13, 2026
- **Apply:** https://startup.jobs/machine-learning-engineer-physics-based-root-access-10420858

## About the Role

* Strong Python skills and experience with PyTorch, JAX, or similar ML frameworks.
 * Experience developing and evaluating machine learning models for scientific or engineering applications.
 * Working knowledge of numerical methods and physics-based modeling.
 * Experience automating simulation tools or computational solvers.
 * Ability to build reliable software pipelines and work with large engineering datasets.
 * Degree in physics, applied mathematics, computer science, electrical engineering, or a related field, or equivalent experience.
 * Preferred: PhD with experience in simulations, surrogate models, neural operators, or physics-informed machine learning.

## Description

* Build and scale automated workflows for electrical, thermal, and electromagnetic simulations.
 * Develop surrogate models that approximate physics simulations with faster inference.
 * Create training datasets from simulations and hardware measurements.
 * Incorporate physical constraints and engineering knowledge into model architectures, training, and evaluation.
 * Validate model predictions against established solvers and experimental results.
 * Develop active learning and optimization workflows to identify promising designs and prioritize simulations.
 * Own reproducible pipelines for data generation, model training, evaluation, and deployment.