Machine Learning Infrastructure Engineer

Posted 3 Days Ago
Palo Alto, CA, USA
In-Office
Entry level
Artificial Intelligence • Robotics • Industrial • Manufacturing
The Role
The role involves building systems for large-scale model training, focusing on distributed training, ML infrastructure, and GPU performance optimization.
Summary Generated by Built In

We’re hiring Machine Learning Infrastructure Engineers to build the systems that make large-scale model training actually work. This role is for people who enjoy operating at scale—owning distributed training, core ML infrastructure, and fast iteration loops across hundreds of GPUs. If you’ve built or run large training systems in PyTorch or JAX and care about things like sharding, parallelism, and performance, you’ll feel at home here. You’ll work closely with researchers to remove friction, improve reliability, and make it easier to train, evaluate, and deploy models that show up in real systems.

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The Company
20 Employees
Year Founded: 2025

What We Do

Mind Robotics builds intelligent, AI-driven robotic systems for industrial deployment, focusing on creating collaborative platforms for manufacturing environments.

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