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Machine Learning Engineer, Platform

Brain Co.· Engineering
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New York City, NYFull-timePosted 2w ago

About the role

Machine Learning Engineer focused on building core ML capabilities for Brain Co.'s Atlas platform, enabling shared, end-to-end ML capabilities (document extraction, foundation models, evaluation, model routing) used across multiple pods and applications in regulated industries.

Responsibilities

  • Turn pod needs into platform capabilities — find the general capability inside one team's specific, urgent request, without over-abstracting before the pattern is proven.
  • Own capabilities end-to-end. There is no handoff: whoever builds the capability owns its behavior in production, across every deployment that uses it.
  • Work at the research frontier with production stakes, turning LLMs, RL fine-tuning, and agentic systems into capabilities that dozens of institutional workflows depend on at once.
  • Serve customers on both sides of the wall — project pods as true customers, and when needed, the domain experts whose decisions your capabilities ultimately power.
  • Engineer for production reality, navigating accuracy, latency, cost, and reliability across environments far messier than any benchmark.
  • Raise the bar across the company. The platform is how learnings travel: what one pod discovers, you turn into something every pod inherits.

Qualifications

  • You understand how machine learning actually works — loss functions, generalization, distribution shift, evaluation in complex systems.
  • Experience with modern AI including prompting, fine-tuning, tool use, and reasoning for LLMs and agentic systems.
  • Ability to compose models (segmentation, VLMs, rule engines) into integrated systems.
  • Platform instinct to generalize from multi-team requests and treat internal teams as customers.
  • Experience building production ML systems that improve over time and scale across products.

Skills

Required:Machine learning fundamentalsFoundation models and agentsModel integration and composition
Last updated Oct 8, 2026. Interested? Apply on the company site.

About Brain Co.

AI for the world's most important institutions

Building an AI platform and applications to deliver impact for real-world problems.

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