Brainco Machine Learning Engineer Intern to design, build, and deploy machine learning systems solving high-impact problems in healthcare, government, and energy. Gain hands-on experience applying AI techniques including large language models.
Responsibilities
As an AI/ML Engineer 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, 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 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
You Might Be a Good Fit If You
Are a current undergraduate students, specifically juniors and seniors 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
Qualification
Current undergraduate studentPursuing degree in Computer ScienceExperience programming in Python
Required
Current undergraduate student, junior or senior, graduating no later than June 2028
Pursuing degree in Computer Science, Machine Learning, Data Science, or related field
Experience programming in Python
Coursework or project experience in machine learning or AI
Preferred
Exposure to or interest in large language models and GenAI applications
Experience or eagerness to learn PyTorch, JAX, or TensorFlow
Strong fundamentals in data structures and algorithms
