Machine Learning Engineer, Platform

📋 Job Overview

Our Mission: Rebuild how the world works, to make institutions work better for the people they serve. Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.

🏢 About Brain Co.

Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model. Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.

🎯 The Role

As a Machine Learning Engineer on Platform, you'll build the core ML capabilities every product we ship stands on — built once, shared everywhere. This is the leverage seat in the company: improve document extraction, and every vertical improves with it; strengthen the blueprint foundation model, and every construction workflow gets sharper; ship a better improvement loop, and every system we've ever deployed keeps getting better on its own. Come help build Atlas - our platform which includes a foundation model for the world's construction documents, extraction agents that read everything from policy stacks to financial filings, a unified eval system across every use case, model routing that puts the right model on the right task at the right cost.

✅ Key Responsibilities

• Turn institutional context into machine learning systems that institutions can use.
• Build the core ML capabilities every product we ship stands on — built once, shared everywhere.
• Own each capability end-to-end — from the pod that needs it this quarter to the abstraction that serves ten pods next year.
• Work alongside exceptional peers on some of the hardest problems in applied AI.

📌 Required Qualifications

• You understand how machine learning actually works — not just the tooling, but the philosophy underneath.
• You live at the bleeding edge of modern AI, with hard-won instincts for squeezing the most out of LLMs and agentic systems.
• You have the platform instinct: you spot the general capability hiding inside three teams' specific requests — and know when generalizing is premature.
• You treat internal teams as real customers with real deadlines, and measure your success in their velocity.

⭐ Desirable Experience

• Energized by building things that have never existed, and comfortable when the problem, the data, and the definition of success all have to be invented at once.

🎁 Benefits

Competitive

🛂 Visa & Eligibility

Not specified