Redefine What’s Possible

Join a team of engineers, scientists, and ML experts building the AI infrastructure behind the next era of physical science and industrial innovation.

Vision

We build high-performance, physics-informed AI built to conquer multiscale complexity—giving engineering and R&D teams the power to move faster, design better, and solve what others can’t.

Mission

To transform how science and industry solve complex physical problems—by making physics-informed AI a trusted tool in every engineer’s workflow.

Why Should You Join The Team?

Engineer the Future with Applied AI

At Multiscale, we combine deep scientific modeling with cutting-edge AI to solve high-impact problems in manufacturing, materials, and physics. Our work goes beyond research—we operationalize AI in real-world environments where accuracy, speed, and interpretability matter.

You’ll collaborate with world-class physicists, data scientists, and ML engineers to push the boundaries of what AI can do in industrial and scientific settings. If you’re excited by the chance to make AI real—and impactful—this is your place.

Meet The People Behind The Platform

Our team is the force behind everything we build—solving high-impact problems with deep science, sharp code, and relentless collaboration. Here’s what life at Multiscale looks like from the inside.

Our Values

Built with the Customer,
for the Customer

We start with the problem and build from there—always grounded in customer need.

Own the Challenge

We take full responsibility for delivering working, end-to-end solutions.

Brains in Motion

We stay sharp—constantly evolving our thinking, tools, and models.

Think from First Principles

We break problems down and build up with science, not shortcuts.

Benefits

Health, Vision, and Dental​
Stock Options​
Collaborative Environment​
Paid Time Off​
Parental Leave​
Office Snacks​

Shape the Future of Applied AI

We’re not just building software. We’re developing AI-native infrastructure to help the world’s leading innovators simulate, model, and optimize complex physical systems.

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