Machine Learning Engineer, Applied AI Co-Op Intern, Winter 2027
At a glance
Junior Machine Learning Engineering role at Brain Co. San Francisco · full-time.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Help create and launch LLM applications that automate complex workflows in real-world settings
- Improve data pipelines and assist with training, testing, and refining machine learning models
- Work with text, documents, logs, and other structured or unstructured data
- Prepare ML systems for release and help monitor them after deployment
- Coordinate with senior engineers, AI researchers, and product teams on project work
What you bring
- You are a current junior or senior undergraduate studying computer science, machine learning, data science, or a related subject
- You can program in Python and have AI or machine learning experience from coursework or projects
- You bring solid data structures and algorithms fundamentals
- You have encountered or want to learn about LLMs and generative AI, and are open to PyTorch, JAX, or TensorFlow
Who this fits
This co-op suits current undergraduate juniors and seniors seeking hands-on ML work with guidance from experienced engineers and researchers. The term runs from January 11 through April 30, 2027, and the role is hybrid in San Francisco.
From the employer
Our Mission
Rebuild how the world works, to make institutions work better for the people they serve.
About Brain Co.
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.
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.
About the Co-Op:
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.
What You’ll Do
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
You Might Be a Good 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 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 environmentEnjoy owning problems end-to-end with guidance and support
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)