Staff Machine Learning Infrastructure Engineer

Role Overview

As a Lead ML Infrastructure Engineer, you will bridge the gap between raw hardware and cutting-edge research, ensuring that our ML team can iterate at lightning speed without friction. Your goal is to maximize the "intelligence-per-watt" by optimizing every millisecond of the training and inference pipeline.

What You Will Do

Scale Distributed Training, Optimize Researcher Ergonomics, High-Performance Data Handling, Production Inference, and Deep Systems Profiling.

Why It Might Be a Fit

7+ Years of Engineering, ML Systems Mastery, Infrastructure Expertise, Low-Level Intuition, and an Ownership Mindset.

Requirements

• 7+ Years of Engineering
• ML Systems Mastery
• Infrastructure Expertise
• Low-Level Intuition
• Ownership Mindset

Benefits

• equal opportunity employer
• mutual respect