Machine Learning Engineer, Applied AI Co-Op Intern

Global Brain Corporation

. Assist in designing and deploying LLM-powered applications to automate complex, real-world workflows .

Posted 10/14/2026internshipSan Francisco • California • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong programming skills in Python and foundational knowledge in machine learning and AI, with a focus on large language models and data pipeline development. Capable of collaborating effectively with cross-functional teams and participating in code reviews and design discussions.

Highest-signal resume keywords

Python ProgrammingMachine LearningLarge Language ModelsData Pipeline DevelopmentPyTorch

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Python ProgrammingMachine LearningData StructuresAlgorithmsData Pipeline Development

Tools & Technologies

PyTorchJAXTensorFlow

Industry Keywords

LLM-Powered ApplicationsGenAI ApplicationsPublic-Sector Institutions

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Assist in designing and deploying LLM-powered applications to automate complex, real-world workflows
Build and improve data pipelines
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
Participate in code reviews and design discussions
Gain exposure to customer-facing and real-world constraints, including public-sector institutions

Requirements

What you’ll need

Current undergraduate student, specifically a junior or senior, pursuing a degree in Computer Science, Machine Learning, Data Science, or a related field
Experience programming in Python
Coursework or project experience in machine learning or AI
Exposure to or interest in large language models and GenAI applications, such as agents, RAG, and reasoning workflows
Experience with or willingness to learn PyTorch, JAX, or TensorFlow
Strong fundamentals in data structures and algorithms
Expected graduation date between June 2027 and June 2028
Legally authorized to work in the US
Available to work full-time for the entire co-op, January 11–April 30, 2027, in San Francisco, CA

Benefits

Comp & perks

Competitive co-op 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)