AI/ML Intern Summer 2027
Core
Summer internship for final-year students to gain real-world experience in machine learning research, model training, and experimentation within a fast-paced, collaborative environment.
Role type
Summer Intern (Machine Learning Research & Engineering)
Builds
Production-ready ML models, generative AI applications, and reusable research tooling for data resilience and security.
Domain
Data security, AI risk management, and enterprise data resilience.
Deliverable
production ML models | research | infrastructure
Required skills
supervised/unsupervised learning, deep learning fundamentals, PyTorch or TensorFlow, model training diagnostics, probability and statistics, hypothesis testing, clean software engineering, rapid prototyping with AI tools, independent research mindset
Preferred skills
LLM/transformer model training and fine-tuning, Weights & Biases or MLflow, distributed training, LoRA/QLoRA, hyperparameter optimization, NLP, generative AI, multimodal systems
Technologies
PyTorch, TensorFlow, Claude, Weights & Biases, MLflow
Responsibilities
Train and evaluate ML models across diverse datasets, analyze loss curves and gradients to diagnose model failures, work on transformer models and generative AI workflows, prototype quickly using AI-assisted development, build reusable experimentation and training workflows
Seniority
Intern (Final-year student)