AI Intern- Summer 2026

Veeam Software•San Jose, CA

1d•Onsite

About The Position

Veeam is seeking students entering their final year of university for a Summer Internship program designed to provide real-life work experience in a fast-paced, exciting, and professional environment. The program runs from June to August 2026 (12 weeks) and includes onboarding, professional development sessions, networking, and social events. Interns will focus on areas such as Language Model Development, Machine Learned Threat Detection, and Agent-Based Interactive Training Simulators.

Requirements

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.
Currently pursuing a Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Mathematics, Data Science, Electrical Engineering, or other closely related quantitative fields.
Completed advanced coursework in areas such as: Machine Learning, Deep Learning, Probability & Statistics, Linear Algebra, Optimization Algorithms & Data Structures, Artificial Intelligence, Natural Language Processing, Computer Vision, Reinforcement Learning, Software Engineering.
Must be in office 5 days a week at the San Jose, California location.
Must be authorized to work in the U.S. (Veeam is unable to sponsor or take over sponsorship of an employment Visa).

Nice To Haves

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.

Responsibilities

Train and improve ML models across a variety of datasets and tasks.
Analyze loss curves, gradients, metrics, and experiments to diagnose model failures and improve performance.
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.