AI/ML Intern Summer 2027
$40k - $50k • San Jose, CA, USA • Internship
Posted 1mo ago
Job Location
San Jose, CA, USA
Tech Stack
Remote Work Policy
On-site
Employment Type
Internship
Categories
Machine Learning Engineer
About the job
Veeam is seeking motivated students for their Summer Internship Program, designed for individuals entering their final year of university who are eager to gain real-world experience in a fast-paced, collaborative environment. The program runs from June to August 2027 and includes comprehensive onboarding, weekly professional development sessions, networking events, and social activities to foster personal and professional growth. Interns will have the opportunity to work on impactful projects, contributing to Veeam's mission as the Data and AI Trust Company.
Responsibilities
- Train and improve ML models across various 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 AI-assisted development workflows.
- Build reusable experimentation, training, and evaluation workflows for ML research.
Requirements
- Strong interest in machine learning research, experimentation, and understanding model behavior.
- Solid 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 AI tools for development, debugging, and rapid iteration.
- Ability to independently investigate problems, design experiments, and analyze outcomes critically.
- Experience training, fine-tuning, or evaluating transformer models or LLMs is a plus.
- Familiarity with modern ML tooling such as Weights & Biases, MLflow, distributed training, mixed precision, LoRA/QLoRA, or hyperparameter optimization is a plus.
- Experience reproducing papers, participating in ML competitions, contributing to research projects, or building advanced personal projects is a plus.
- Exposure to NLP, generative AI, multimodal systems, retrieval systems, or recommendation systems is a plus.
- Currently pursuing a Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Mathematics, Data Science, Electrical Engineering, or a closely related quantitative field.
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