ML Engineer: 3D AI for Engineering Simulations

PhysicsX; New York (NY); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equity options

401(k) contribution

Free team lunch

Private health insurance

Enhanced parental leave

Annual leave 20 days

Personal development

Gympass/Wellhub

FSA

Job summary

PhysicsX seeks a Machine Learning Engineer in Delivery to embed cutting-edge AI models into tools used by customers across multiple industries. You will design data pipelines, manipulate 3D point cloud data, and own technical workstreams with direct customer interaction.

You will collaborate with data scientists and simulation engineers, travel 3–4 weeks per quarter to North America, Europe, and Asia, and contribute to scalable, production-grade ML solutions with modern frameworks.

Qualifications

• Experience applying ML methods to real-world engineering applications with measurable impact.
• Experience in ML/Computational statistics/modelling in industrial settings is encouraged.
• Track record of scoping and delivering customer-facing projects.
• 2+ years in a data-driven role with software engineering concepts (versioning, testing, CI/CD, API design, MLOps).
• Building ML models and pipelines in Python using TensorFlow, MLFlow.
• Familiarity with distributed computing frameworks (Spark, Dask).
• Experience with cloud platforms (AWS, Azure, GCP) and HPC computing.
• Containerization and orchestration (Docker, Kubernetes).
• Strong problem-solving and quick-diagnosis abilities.
• Excellent collaboration and communication with teams and customers.
• Background in Physics, Engineering, or equivalent.

Responsibilities

• Work with simulation engineers, data scientists and customers to understand physics and engineering challenges.
• Design, build and test data pipelines for machine learning that are reliable and scalable.
• Explore and manipulate 3D point cloud and mesh data.
• Own the delivery of technical workstreams.
• Create analytics environments in cloud or on-premise for data engineering and science.
• Choose libraries and tools to set up for success.
• Translate R&D outputs into reusable libraries and products.
• Coach colleagues in engineering best practices.

Skills

ML in 3D data

Industrial ML modelling

Customer-facing delivery

Data-driven software engineering

Python ML tools

Spark & Dask

Cloud platforms

Docker & Kubernetes

Problem solving

Communication skills

Physics/Engineering background

Tools

TensorFlow

MLFlow

Job description

PhysicsX seeks a Machine Learning Engineer in Delivery to embed cutting-edge AI models into tools used by customers across multiple industries. You will design data pipelines, manipulate 3D point cloud data, and own technical workstreams with direct customer interaction.

You will collaborate with data scientists and simulation engineers, travel 3–4 weeks per quarter to North America, Europe, and Asia, and contribute to scalable, production-grade ML solutions with modern frameworks.