Machine Learning Engineer, Applied AI Co-Op Intern, Winter 2027

Rebuild how the world works, to make institutions work better for the people they serve.

Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.

Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.

Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.

You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now.

As an AI/ML Engineer Co-op Intern, you’ll work alongside experienced engineers and researchers to help design, build, and deploy machine learning systems that solve high-impact problems in healthcare, government, and energy.

This internship is designed for current undergraduate students (juniors and seniors) who want hands-on experience applying modern AI techniques—especially large language models—to real-world challenges. You’ll gain exposure to the full ML lifecycle while receiving mentorship and ownership over meaningful projects.

Assist in designing and deploying LLM-powered applications to automate complex, real-world workflows

Build and improve data pipelines and support model training, evaluation, and optimization

Work with structured and unstructured data (e.g., text, documents, logs)

Help prepare models and systems for production deployment and monitoring

Collaborate closely with senior engineers, AI researchers, and product teams

Learn best practices through code reviews, design discussions, and hands-on mentorship

Gain exposure to customer-facing and real-world constraints, including working with public-sector institutions

Are a current undergraduate student, specifically a junior or senior, pursuing a degree in Computer Science, Machine Learning, Data Science, or a related field

Have experience programming in Python

Have coursework or project experience in machine learning or AI

Have exposure to or interest in large language models and GenAI applications (e.g., agents, RAG, reasoning workflows)

Have used or are eager to learn frameworks such as PyTorch, JAX, or TensorFlow

Have strong fundamentals in data structures and algorithms Are curious, proactive, and excited to learn quickly in a fast-paced environment

Enjoy owning problems end-to-end with guidance and support

Winter / Spring Co-Op: January 11, 2027 - April 30, 2027

Competitive co-op compensation

Hands-on mentorship from experienced AI engineers and researchers

Opportunity to work on real production systems used globally

Potential return-offer consideration for future internships or full-time roles

Daily lunches (if onsite)