Platform ML Engineer: Foundation Models in Production

Brain Co.; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Brain Co. seeks a Machine Learning Engineer to build platform-level ML capabilities that power multiple products across industries. You will work on agent-native systems, foundation models, and production-grade pipelines that improve document extraction, reasoning, and automation across regulated environments.

You will collaborate with teams to push frontend and backend integration, ensure latency and cost targets, and ship improvements that scale across many pods and use cases.

Qualifications

• You understand how machine learning actually works, not just tooling.
• Experience with large language models, agents, and system prompts.
• Ability to ship ML capabilities that power multiple products.

Responsibilities

• Turn pod needs into platform capabilities and generalize the solution.
• Own capabilities end-to-end in production without handoffs.
• Work at the research frontier with production stakes.
• Turn ML research into capabilities used by many pods.
• Build and maintain a robust evaluation and deployment pipeline.
• Collaborate with domain experts to align capabilities with customer needs.

Skills

ML fundamentals

LLMs & agentic systems

Production ML

Prompting & fine-tuning

Tools

Python

PyTorch

LLMs

Job description

Brain Co. seeks a Machine Learning Engineer to build platform-level ML capabilities that power multiple products across industries. You will work on agent-native systems, foundation models, and production-grade pipelines that improve document extraction, reasoning, and automation across regulated environments.

You will collaborate with teams to push frontend and backend integration, ensure latency and cost targets, and ship improvements that scale across many pods and use cases.