Machine Learning Engineering Intern (AI)

Location: Singapore

Company

hirify.global develops end-to-end advertising technologies that help businesses reach, monetize, and grow global audiences, including AI-powered content and recommendation products.

What you will do

• Develop and evaluate machine learning models for recommendation, ranking, content understanding, or user behaviour modelling.
• Own an internship project from problem framing and feature engineering through model training and offline evaluation.
• Run experiments and analyze results to form data-backed conclusions.
• Collaborate with engineers, product managers, and data analysts to turn model improvements into production-ready solutions.
• Participate in discussions about model architecture, system design, and metric trade-offs.

Requirements

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• Solid foundation in supervised learning, model evaluation, optimization, and modeling trade-offs.
• Proficiency in Python and familiarity with PyTorch or TensorFlow.
• Experience with feature engineering, exploratory analysis, and interpreting experimental results.
• Strong software engineering fundamentals, including clean code, version control, and collaborative development.
• Curiosity, rigor, and honesty when interpreting data.

Nice to have

• Projects or coursework applying machine learning to real data, including research, Kaggle competitions, or course capstones.
• Exposure to recommendation systems, ranking, or personalization.
• Familiarity with Spark, Hive, or cloud ML platforms.
• Understanding of A/B testing and statistical significance.
• Interest in content platforms, social products, or AI-driven discovery systems.

Culture & Benefits

• Work alongside product managers, backend engineers, and data analysts in a cross-functional ML team.
• Receive mentorship from a senior engineer and work on a project with production impact.
• Contribute to AI systems operating at large scale.
• Inclusive equal opportunity workplace committed to diversity.