Machine Learning Engineer, Applied AI Intern (Summer 2027)
About The Position
Brain Co. is hiring an Applied AI intern to help design, build, and deploy machine learning systems addressing high-impact problems in healthcare, government, and energy. The internship is intended for current undergraduate juniors and seniors graduating no later than June 2028, and provides hands-on experience applying modern AI techniques—especially large language models—to real-world challenges. Interns receive exposure to the full machine-learning lifecycle, mentorship, and ownership of meaningful projects. Work includes production systems and may involve customer-facing constraints, including work with public-sector institutions. Interns will collaborate with experienced engineers, AI researchers, and product teams. Internship dates are either May 31–August 6, 2027, or July 5–September 10, 2027. The posting offers competitive internship compensation, mentorship, the opportunity to work on production systems used globally, possible consideration for future internships or full-time roles, and daily lunches when onsite.
Requirements
- Be a current undergraduate junior or senior graduating no later than June 2028, 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 strong fundamentals in data structures and algorithms.
- Be curious, proactive, and excited to learn quickly in a fast-paced environment.
- Enjoy owning problems end-to-end with guidance and support.
Nice To Haves
- Exposure to or interest in large language models and generative AI applications, such as agents, retrieval-augmented generation (RAG), or reasoning workflows.
- Have used or be eager to learn frameworks such as PyTorch, JAX, or TensorFlow.
Responsibilities
- 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, including text, documents, and 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 work with public-sector institutions.
Benefits
- 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.
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
