Intern, Machine Learning Engineer
Gray Swan
📍Remote (Global) 🕔 Full Time
🔄 Rolling Applications
We are seeking a Machine Learning Engineer Intern to work alongside our research and engineering teams. This role offers hands-on experience in developing, testing, and deploying AI security solutions. You will contribute to machine learning model evaluations, build tools for AI risk assessment, and help integrate ML-driven insights into our products.
Key Responsibilities:
Support research on AI robustness, adversarial attacks, and defense strategies
Assist in developing and testing machine learning models' security
Build and optimize tools for AI risk assessment and adversarial testing
Collaborate with engineers and researchers to integrate ML solutions into production environments
Required Skills and Qualifications:
Currently pursuing or have completed a Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field
Work experience OR research involving the following:
Experience in building and experimenting with machine learning models using frameworks like PyTorch either through coursework, personal projects, or internships
Familiarity with Python (experience with C++ is a plus) and basic programming skills for implementing ML models
Understanding of fundamental neural network architectures, such as sequence models, transformers, and other deep learning approaches
Ability to preprocess, transform, and analyze datasets, with exposure to working with large or multimodal datasets
Strong problem-solving skills and a basic understanding of ML theory, optimization techniques, and algorithmic principles
Bonus Points:
Exposure to cloud platforms like AWS, GCP, or Azure for running ML experiments or deploying models
Experience with building small-scale ML pipelines or integrating ML models into applications
Interest in AI security, adversarial ML, or techniques for evaluating model robustness
Experience conducting empirical analysis of ML experiments, even at a research prototype level
This internship provides a unique opportunity to gain hands-on experience in AI security while working with cutting-edge research and real-world applications. If you're passionate about making AI safer, Gray Swan is the right opportunity for you.