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.