Brainco
Machine Learning Engineer, Applied AI
New York City, NY
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About the role
- So much of the work society depends on is still slower and harder than it should be.
- And AI hasn't changed that - because the bottleneck isn't the models.
- It's the institutional context AI needs to do the work:
Responsibilities
- Own AI systems end-to-end.
- the person who trains the model owns its behavior in production.
- Raise the bar across the company through design reviews, our internal paper club, and the shared playbook for AI systems institutions can trust.
- Brain Co. builds AI-native operating systems for large, regulated institutions.
Company info
- Rebuild how the world works, to make institutions work better for the people they serve.
- ABOUT BRAIN CO.
- 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.
- Joining now means shaping both the company and a new category of applied AI.
- Every project here ships to production and is expected to create measurable customer value and impact.
- You'll work alongside exceptional peers on some of the hardest problems in applied AI.
- It's the kind of work you'll still be proud of in ten years from now.
This listing is sourced directly from Brainco's careers page and normalized into a canonical job model.