AI/ML Intern Summer 2027

The role

The intern will train and improve ML models across various datasets and tasks. They will also work on LLM and generative AI research, training diagnostics, and building research tooling.

What you will do

• Train and improve ML models across a variety of datasets and tasks
• Analyze loss curves, gradients, metrics, and experiments to diagnose model failures
• Work on transformer models, fine-tuning workflows, evaluation systems, and generative AI applications
• Prototype and iterate quickly using Claude-assisted development workflows
• Build reusable experimentation, training, and evaluation workflows for ML research

Required qualifications

• Currently pursuing a Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Mathematics, Data Science, Electrical Engineering, or other closely rela
• Students entering their final year of university
• Strong interest in machine learning research, experimentation, and understanding model behavior
• Strong foundation in supervised/unsupervised learning, optimization, regularization, model evaluation, and deep learning fundamentals
• Hands-on experience training deep learning models in PyTorch or TensorFlow
• Ability to diagnose poor convergence, overfitting, unstable training, gradient issues, data leakage, and weak generalization
• Strong understanding of probability, statistics, hypothesis testing, experimental analysis, and interpreting noisy results
• Ability to write clean, maintainable code with strong encapsulation, separation of concerns, modularity, and object-oriented design principles
• Comfortable using Claude or similar AI tools for development, debugging, and rapid iteration
• Ability to independently investigate problems, design experiments, and analyze outcomes critically
• Completed advanced coursework in Machine Learning, Deep Learning, Probability & Statistics, Linear Algebra, Optimization, Algorithms & Data Structures, Artificial Intelligence, Natural Language Proces

Nice to have

• Experience training, fine-tuning, or evaluating transformer models or LLMs
• Familiarity with Weights & Biases, MLflow, distributed training, mixed precision, LoRA/QLoRA, or hyperparameter optimization
• Experience reproducing papers, participating in ML competitions, contributing to research projects, or building advanced personal projects
• Exposure to NLP, generative AI, multimodal systems, retrieval systems, or recommendation systems

Benefits

• Paid Company Holidays during your internship
• Tech Stipend to help set up your workspace
• 8 Hours of Paid Volunteer Time through our Veeam Cares Program
• Personal and Professional Development through our Internship Program

About the company

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient. Headquartered in Seattle, Veeam protects over 550,000 customers worldwide.