Industrial ML Engineer: Physics‑Driven AI for Engineering

CDFAM - Computational Design Symposium; San Francisco (CA); Ibrido; USD 150.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity options

401(k) contribution

Private health insurance

Parental leave

20 days annual leave

Personal development

Gympass/Wellhub

Flexible Spending Account (FSA)

Descrizione del lavoro

PhysicsX is hiring a Machine Learning Engineer in Delivery to embed cutting-edge AI models into customer tools. You will ship end-to-end ML systems, design scalable data pipelines, and manipulate 3D point-cloud data for geometry-aware modelling.

This role involves cross-functional work with data scientists, simulation engineers, and on-site customer collaboration. You should have 2+ years in a data-driven role, experience with Python ML libraries, and a strong foundation in physics or

Competenze

• Experience applying ML methods to real-world engineering applications with measurable impact.
• Experience in ML/Computational statistics in industrial settings is encouraged.
• 2+ years in a data-driven role with exposure to software engineering concepts.

Mansioni

• Design, build and test data pipelines for ML that are reliable and scalable.
• Explore and manipulate 3D point cloud and mesh data for geometry-aware modelling.
• Own delivery of technical workstreams and collaborate with customers on-site when needed.
• Create analytics environments in the cloud or on premise for data engineering and science.
• Translate R&D outputs into reusable libraries, tooling and products.
• Coach colleagues in engineering best practices and standards.

Conoscenze

ML pipelines

3D point cloud

Python

TensorFlow

MLFlow

Spark

Kubernetes

Cloud platforms

Strumenti

TensorFlow

MLFlow

Spark

Dask

AWS

Azure

GCP

Docker

Kubernetes

Descrizione del lavoro

PhysicsX is hiring a Machine Learning Engineer in Delivery to embed cutting-edge AI models into customer tools. You will ship end-to-end ML systems, design scalable data pipelines, and manipulate 3D point-cloud data for geometry-aware modelling.

This role involves cross-functional work with data scientists, simulation engineers, and on-site customer collaboration. You should have 2+ years in a data-driven role, experience with Python ML libraries, and a strong foundation in physics or