AI/ML Engineering Intern

About the role

Support applied ML and AI workflow experiments under supervision. Focus on reproducible evaluation, clear documentation, and responsible data handling.

Responsibilities

• Prepare approved datasets
• Establish baselines for models and AI workflows
• Evaluate quality, cost, and limitations
• Document findings for engineering partners

Requirements

• Python
• Basic statistics
• Data cleaning experience
• Train/validation/test concepts
• Reproducible experiment habits

Nice to have

• PyTorch
• Retrieval and embeddings
• Model evaluation tooling
• Responsible data handling practices

Tech & tools

• Python
• pandas
• scikit-learn
• Jupyter
• PyTorch
• Approved model APIs where appropriate

What you will learn

• Dataset preparation and baseline comparison
• Structured model/workflow evaluation
• Clear documentation of limits and costs

Application process

• Submit the application form with your resume and links.
• We review materials for role fit and readiness.
• Selected candidates are invited to a conversation with the hiring team.
• We share next steps or a decision as soon as we can.