Graduate Machine Learning Engineer - AI Research

About

Our client is seeking an enthusiastic and bright Graduate Machine Learning Engineer to join their pioneering AI Research team. This is a fully remote internship opportunity, providing a fantastic platform for emerging talent to gain hands‑on experience in a dynamic research environment from anywhere in Canada. You will work alongside seasoned AI researchers and engineers, contributing to the development and implementation of advanced machine learning models for innovative applications. This internship is ideal for individuals passionate about artificial intelligence, eager to learn, and looking to kick‑start their career in a cutting‑edge field.

This is an unparalleled opportunity to gain invaluable experience and make a real contribution to AI research within a forward‑thinking organization. Our client offers a supportive and collaborative remote internship experience designed for growth and learning.

Responsibilities

• Assist in the design, implementation, and testing of machine learning algorithms and models under the guidance of senior researchers.
• Process and analyze large datasets to extract meaningful features and insights.
• Contribute to the development of deep learning architectures using frameworks such as TensorFlow or PyTorch.
• Conduct experiments to evaluate model performance and identify areas for improvement.
• Assist in the preparation of research papers, presentations, and technical documentation.
• Collaborate with team members on coding, debugging, and troubleshooting machine learning projects.
• Stay up‑to‑date with the latest advancements in machine learning and artificial intelligence.
• Participate in team meetings and contribute ideas for future research directions.
• Support the data annotation and labeling efforts for specific projects.
• Learn and apply best practices in software development and version control (e.g., Git).
• Help maintain and organize research code repositories.
• Assist in the setup and configuration of experimental environments.

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related quantitative field.
• Foundational knowledge of machine learning concepts, algorithms, and statistical modeling.
• Proficiency in Python programming.
• Familiarity with machine learning libraries such as Scikit‑learn, TensorFlow, or PyTorch.
• Basic understanding of data structures and algorithms.
• Strong analytical and problem‑solving skills.
• Excellent communication and teamwork abilities.
• Eagerness to learn and adapt to new technologies and methodologies.
• Previous project experience (academic or personal) in machine learning is a strong asset.
• Must be legally eligible to work in Canada for the duration of the internship.