Platform ML Engineer - Production-Ready AI Systems

AI Chopping Block; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Brain Co. is building AI-native operating systems for large, regulated institutions.

As a Machine Learning Engineer on the Platform, you will develop core ML capabilities—document extraction, model routing, and a unified evaluation system—that support production-grade products across industries. You will work at the frontier of AI, combining prompting, fine-tuning, and tool use to create scalable, reusable capabilities that improve multiple pods and workflows.

Qualifications

• Strong understanding of machine learning concepts and modern AI systems.
• Experience with large language models (LLMs) and agent-based architectures.
• Ability to design and implement prompting, fine-tuning, and tool integration.

Responsibilities

• Turn pod needs into platform capabilities.
• Own capabilities end-to-end in production.
• Work at the frontier of research with production stakes.
• Serve internal customers and domain experts as true customers.
• Engineer for production reality, balancing accuracy, latency, cost, and reliability.
• Raise the bar by turning learnings into reusable capabilities.

Skills

Machine Learning

LLMs

Prompting

Fine-tuning

Tool use

Reasoning

Agents

Tools

Atlas platform

Job description

Brain Co. is building AI-native operating systems for large, regulated institutions.

As a Machine Learning Engineer on the Platform, you will develop core ML capabilities—document extraction, model routing, and a unified evaluation system—that support production-grade products across industries. You will work at the frontier of AI, combining prompting, fine-tuning, and tool use to create scalable, reusable capabilities that improve multiple pods and workflows.