Machine Learning Engineer, Applied AI Intern (Summer 2027)
Brainco · San Francisco Bay Area
About this role
## Machine Learning Engineer, Applied AI Intern (Summer 2027) ### 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**, a 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 and a growing footprint across government, insurance, health, and financial services. Projects ship to production and are expected to create measurable customer value and impact. --- ## About the Role As an **AI/ML Engineer Intern**, you’ll work with 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 for **current undergraduate students** (specifically **juniors and seniors graduating no later than June 2028**) 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 with 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 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 public-sector institutions) --- ## You Might Be a Good Fit If You - Are a current undergraduate student (juniors/seniors graduating **no later than June 2028**) studying **CS, ML, Data Science, or related** - Have experience programming in **Python** - Have coursework or project experience in **machine learning / AI** - Have exposure to or interest in **large language models and GenAI** (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 --- ## Internship Details & Benefits - **Dates:** May 31, 2027 – Aug 6, 2027 **or** July 5, 2027 – September 10, 2027 - Competitive internship 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)
Listing freshness
CronJobs last confirmed this listing 1h ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.