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Machine Learning Engineer, Applied AI

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

About the role

Frontier ML applied where it matters most: building end-to-end, production-grade ML systems for regulated institutions, integrating multimodal models, agents, and rule-based components to automate complex workflows.

Responsibilities

  • Turn ambiguity into shipped systems — from no problem statement, no labeled data, and no agreed definition of success, to well-posed ML problems and production deployments.
  • Own AI systems end-to-end. There is no handoff: the person who trains the model owns its behavior in production.
  • Work at the research frontier with production stakes, applying LLMs, RL fine-tuning, and agentic systems where the output is a decision an institution acts on.
  • Work directly with the institutions we serve — permit reviewers, underwriters, compliance officers — to understand how decisions actually get made and ensure your systems change how the work gets done.
  • Engineer for production reality, navigating accuracy, latency, cost, and reliability in environments far messier than any benchmark.
  • Raise the bar across the company through design reviews, our internal paper club, and the shared playbook for AI systems institutions can trust.

Qualifications

  • You understand how machine learning actually works — including loss functions, generalization under distribution shift, and evaluation as a potential failure point.
  • Experience on the bleeding edge of modern AI, with instincts for squeezing value from LLMs and agentic systems — prompting, fine-tuning, tool use, and reasoning.
  • Comfortable with building systems where problem, data, and success criteria are invented in tandem.
  • Experience with combining segmentation models, vision transformers, VLM reasoning, and rule engines to create composite AI systems.

Skills

Required:End-to-end AI system ownershipMultimodal model integration (vision, language, reasoning)Prompting, fine-tuning, tool use, reasoning with LLMs

Benefits

  • Not specified in the provided description.
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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