AI/ML Intern Summer 2027

Responsibilities

• : Prototype and iterate quickly using Claude-assisted development workflows.

Requirements

• Comfortable using Claude or similar AI tools for development, debugging, and rapid iteration.
• Ability to independently investigate problems, design experiments, and analyze outcomes critically.

Passion & Curiosity

Strong interest in machine learning research, experimentation, and understanding model behavior.

Machine Learning Fundamentals

Strong foundation in supervised/unsupervised learning, optimization, regularization, model evaluation, and deep learning fundamentals.

Model Training Experience

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.

Statistics & Experimentation

Strong understanding of probability, statistics, hypothesis testing, experimental analysis, and interpreting noisy results.

Software Engineering Discipline

Ability to write clean, maintainable code with strong encapsulation, separation of concerns, modularity, and object-oriented design principles.

LLM Experience

Experience training, fine-tuning, or evaluating transformer models or LLMs.

Modern ML Tooling

Familiarity with Weights & Biases, MLflow, distributed training, mixed precision, LoRA/QLoRA, or hyperparameteroptimization.

Research Exposure

Experience reproducing papers, participating in ML competitions, contributing to research projects, or building advanced personal projects.

Applied AI Domains

Exposure to NLP, generative AI, multimodal systems, retrieval systems, or recommendation systems.

Model Training & Evaluation

Train and improve ML models across a variety of datasets and tasks.

Training Diagnostics

Analyze loss curves, gradients, metrics, and experiments to diagnose model failures and improve performance.

LLM & Generative AI Research

• Work on transformer models, fine-tuning workflows, evaluation systems, and generative AI applications.
• Rapid Experimentation

Research Tooling

• Build reusable experimentation, training, and evaluation workflows for ML research.
• Candidates should have 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

Targeted Field of Study

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 related quantitative fields

Requirements

This role requires you to be in office 5 days a week at the San Jose, California location

Benefits

• As a paid intern at Veeam, you’ll receive:
• 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

We’re committed to providing a supportive and rewarding internship experience.

The pay range posted is an hourly rate of base pay. When making an offer of employment, Veeam will take into consideration the candidate’s expectations, experience, education, scope of responsibility for the role, and the current market demands.

United States of America Intern Pay Range

$40 - $50 USD

Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

Personal data collected during the recruitment process will be processed in accordance with our

Recruiting Privacy Notice

, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.

By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.