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Machine Learning Engineer, Platform

Brain Co.· Engineering
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Hybrid (San Francisco Bay Area)Full-timePosted 2mo ago

About the role

Machine Learning Engineer on the Platform team responsible for building core ML capabilities that underpin Brain Co.'s products, including a foundation model for construction documents, extraction agents, a unified eval system, and model routing. Own capabilities end-to-end and ship production-ready solutions that improve across multiple product pods.

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, distribution shift, evaluation in production.
  • Bleeding-edge AI experience with hard-won instincts for squeezing the most out of LLMs and agentic systems — prompting, fine-tuning, tool use, and reasoning.
  • Ability to compose segmentation models, rule engines, and other components into integrated systems.
  • Platform instinct to generalize from specific requests and treat internal teams as customers with real deadlines.

Skills

Required:Machine learning fundamentalsFoundation models and agentic systemsSystem design for production ML
Last updated Oct 1, 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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