Machine Learning Engineering Intern (2027 Summer Internship)

📋 Description

• Contribute to the development and evaluation of ML models within a defined area — recommendation
• Own a focused internship project end-to-end: problem framing, feature engineering, model training
• Run experiments and analyse results to form a clear, data-backed view of what's working and why.
• Collaborate with engineers and product managers to understand system constraints and translate
• Participate in team discussions on model architecture, system design, and metric trade-offs.

🎯 Requirements

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or
• Solid foundation in machine learning concepts — supervised learning, model evaluation
• Proficiency in Python and familiarity with at least one ML framework such as PyTorch or TensorFlow.
• Comfortable working with data — feature engineering, exploratory analysis, and interpreting
• Strong software engineering fundamentals: clean code, version control, and the ability to
• Curious, rigorous, and honest about what the data is actually telling you.