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Machine Learning Engineer, Applied AI Intern
Global Brain Corporation. Assist in designing and deploying LLM-powered applications to automate complex, real-world workflows .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates proficiency in Python programming and a solid understanding of machine learning principles, particularly in the context of large language models and data pipeline development. Capable of collaborating effectively with cross-functional teams while contributing to model training and deployment processes.
Highest-signal resume keywords
Python ProgrammingMachine LearningLarge Language ModelsData Pipeline DevelopmentPyTorch
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningData StructuresAlgorithmsModel TrainingModel EvaluationModel OptimizationProduction DeploymentWorkflow AutomationData ProcessingAI Applications
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
PyTorchJAXTensorFlow
Industry Keywords
Data ScienceComputer ScienceGenAI ApplicationsPublic-Sector Institutions
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
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 constraints and public-sector institutions
Requirements
What you’ll need- Current undergraduate student, specifically a junior or senior graduating no later than June 2028
- 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, including agents, RAG, and reasoning workflows
- Used or eager to learn PyTorch, JAX, or TensorFlow
- Strong fundamentals in data structures and algorithms
- Legally authorized to work in the US
- Available to work full-time for the internship period
Benefits
Comp & perks- 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)