Machine Learning Engineer, Applied AI Co-Op Intern, Winter 2027

5 days ago

H1B sponsor

Responsibilities

Assist in designing and deploying LLM-powered applications that 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 machine learning models and systems for production deployment and monitoring.
Collaborate with senior engineers, AI researchers, and product teams.
Participate in code reviews and design discussions while learning engineering best practices.
Work with customer-facing and real-world constraints, including public-sector institutions.

Be a current undergraduate junior or senior pursuing 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 eager to learn PyTorch, JAX, or TensorFlow.
Have strong fundamentals in data structures and algorithms.
Be curious, proactive, excited to learn quickly, and comfortable owning problems with guidance and support.

Winter/Spring co-op runs from January 11, 2027, through 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 consideration for return offers for future internships or full-time roles.
Daily lunches 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/