Principal ML Engineer: Industrial Manufacturing AI Leader

PhysicsX Ltd.; New York (NY); Híbrido; USD 140.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity options

401(k) matching (5%)

Private health insurance

Private parental leave

Descripción de la vacante

PhysicsX Ltd. is a physics AI company delivering ML-enabled solutions for industrial manufacturing and MRO.

The Principal Machine Learning Engineer will lead end-to-end ML initiatives, from data pipelines to deployment, partnering with data scientists and engineers to embed AI models on customer sites. The role requires strong experience shipping ML in production, ownership of modeling-to-deployment workflows, and collaboration with customers worldwide.

Formación

• 5+ years of industry ML experience in commercial settings.
• Experience shipping ML systems end to end.
• Experience in manufacturing or regulated environments is a plus.
• Willingness to travel internationally 3–4 weeks per quarter.

Responsabilidades

• Own the ML approach to manufacturing and MRO data from modelling through deployment.
• Build production ML on sparse, drifting, miscalibrated data and judge data sufficiency.
• Choose between physics simulation, reduced-order and learned models.
• Define product requirements for the PhysicsX platform for manufacturing and MRO.
• Lead scoping and architecture for data and ML systems and communicate trade-offs to stakeholders.
• Build end-to-end training and inference pipelines and APIs (Python, PyTorch, Pandas, FastAPI, SciPy, Kubeflow).
• Travel to customer sites worldwide, 3–4 weeks per quarter.

Educación

Master's or PhD

Herramientas

Python

PyTorch

Pandas

FastAPI

SciPy

Kubeflow

Descripción del empleo

PhysicsX Ltd. is a physics AI company delivering ML-enabled solutions for industrial manufacturing and MRO.

The Principal Machine Learning Engineer will lead end-to-end ML initiatives, from data pipelines to deployment, partnering with data scientists and engineers to embed AI models on customer sites. The role requires strong experience shipping ML in production, ownership of modeling-to-deployment workflows, and collaboration with customers worldwide.