AI Platform Engineer Co-Op Intern, Winter 2027

Why Now

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.

What You’ll Work on

• Help build and improve Kubernetes- and Terraform-based infrastructure across production and customer environments.
• Contribute to tooling and automation that makes infrastructure easier and safer for engineers to deploy and operate.
• Work with cloud infrastructure, networking, CI/CD, and containerized systems.
• Help build and improve metrics, logging, tracing, dashboards, and monitoring for production services.
• Investigate performance and reliability issues across distributed systems and AI workloads.
• Support infrastructure for AI inference, data pipelines, and large-scale backend services.
• Participate in code reviews, architecture discussions, and technical problem-solving alongside experienced engineers.
• See the infrastructure you build support real applications used by customers at scale.

You Might Be a Great Fit If You

• 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 strong software engineering fundamentals and experience programming through coursework, internships, research, or personal projects.
• Have experience with a programming language such as Python, Go, Java, C++, or similar.
• Have exposure to or an interest in cloud infrastructure, distributed systems, operating systems, networking, or databases.
• Are familiar with or excited to learn technologies like Kubernetes, Terraform, Docker, AWS/GCP/Azure, and observability tools.
• Enjoy understanding how systems work under the hood and solving problems involving performance, reliability, and scale.
• Are curious, proactive, and excited to learn quickly in a fast-paced engineering environment.
• Enjoy taking ownership of technical problems while learning from experienced engineers.

Co-Op Details & Benefits

• 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)