Machine Learning Engineering Intern (2027 Summer Internship)
Core
Building production ML systems for content recommendation, ranking, user modelling, and content quality on a global social media platform.
Role type
Machine Learning Engineering Intern
Builds
Production ML pipelines for recommendation and ranking systems
Domain
Social media, content discovery, advertising technology
Deliverable
production ML models
Required skills
Python, PyTorch or TensorFlow, supervised learning, model evaluation, optimisation, feature engineering, software engineering fundamentals
Preferred skills
Kaggle competitions, recommendation systems, Spark, Hive, A/B testing, large-scale data tools
Technologies
PyTorch, TensorFlow, Spark, Hive
Responsibilities
Develop and evaluate ML models in recommendation or ranking areas; Own end-to-end internship projects from problem framing to online experimentation; Run experiments and analyse results; Collaborate with engineers and product managers on system constraints; Participate in discussions on model architecture and metric trade-offs
Seniority
Intern