Machine Learning Engineer, Applied AI Intern (Summer 2027)

2 months ago

H1B sponsor

Responsibilities

Assist in designing and deploying LLM-powered applications that automate complex 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 ML models and systems for production deployment and monitoring.
Collaborate with senior engineers, AI researchers, and product teams.
Participate in code reviews, design discussions, and hands-on mentorship.
Gain exposure to customer-facing constraints and public-sector institutions.

Be a current undergraduate junior or senior graduating no later than June 2028.
Pursue 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 generative AI applications such as agents, RAG, and reasoning workflows.
Have used or be willing to learn PyTorch, JAX, or TensorFlow.
Have strong fundamentals in data structures and algorithms.
Be curious, proactive, eager to learn quickly, and comfortable owning problems with guidance and support.

Internship dates are May 31, 2027–August 6, 2027, or July 5, 2027–September 10, 2027.
Competitive internship compensation is provided.
Receive hands-on mentorship from experienced AI engineers and researchers.
Work on real production systems used globally.
Potential consideration for return offers for future internships or full-time roles.
Daily lunches are provided if onsite.

11-50 employees

We're building an AI platform and applications for the world's most important institutions. Learn more at https://brain.co/