AI/ML Intern (Summer 2027)

• Join our Summer Internship Program as an AI/ML Intern, where you'll gain meaningful, real-world experience in a fast-paced, collaborative environment.
• This internship is designed for students entering their final year of university who are eager to gain hands-on experience in machine learning and artificial intelligence.
• Computer Vision

Responsibilities

• Throughout the 10-week program, you'll participate in a comprehensive onboarding experience, weekly professional development sessions, networking events, and social activities.
• Your responsibilities will include model training and evaluation, training diagnostics, LLM and generative AI research, rapid experimentation, and research tooling.
• Participate in model training and evaluation, analyze diagnostics, and work on LLM and generative AI research.
• Prototype and iterate quickly using Claude-assisted development workflows, and build reusable experimentation, training, and evaluation workflows for ML research.
• Engage in professional development sessions, networking events, and social activities to support personal and professional growth.
• Statistics & Experimentation: Strong understanding of probability, statistics, hypothesis testing, experimental analysis, and interpreting noisy results
• Passion & Curiosity: Strong interest in machine learning research, experimentation, and understanding model behavior
• Research Mindset: Ability to independently investigate problems, design experiments, and analyze outcomes critically
• 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
• Software Engineering
• Probability & Statistics
• Optimization
• Natural Language Processing

Requirements

• Machine Learning Fundamentals: Strong foundation in supervised/unsupervised learning, optimization, regularization, model evaluation, and deep learning fundamentals
• Software Engineering Discipline: Ability to write clean, maintainable code with strong encapsulation, separation of concerns, modularity, and object-oriented design principles
• Rapid Prototyping: Comfortable using Claude or similar AI tools for development, debugging, and rapid iteration
• Algorithms & Data Structures

Linear Algebra

• 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
• Research Exposure: Experience reproducing papers, participating in ML competitions, contributing to research projects, or building advanced personal projects

Preferred

• Machine Learning
• Artificial Intelligence
• Candidates should have completed advanced coursework in areas such as:
• Reinforcement Learning

Deep Learning

• Modern ML Tooling: Familiarity with Weights & Biases, MLflow, distributed training, mixed precision, LoRA/QLoRA, or hyperparameteroptimization
• LLM Experience: Experience training, fine-tuning, or evaluating transformer models or LLMs
• Applied AI Domains: Exposure to NLP, generative AI, multimodal systems, retrieval systems, or recommendation systems

Benefits

• Our Summer Internship Program is designed for students entering their final year of university who are eager to gain meaningful, real-world experience in a fast paced, collaborative, and professional environment