Applied Machine Learning Internship
Core
Develop recommender system solutions by exploring datasets, training models, and delivering tailored recommendations to customers.
Role type
Applied machine learning engineer intern
Builds
Core recommendation platform and customer-specific recommendation solutions
Domain
AI recommender systems for retail and media (e.g., Brut, Chanel, Reelgood)
Deliverable
production ML models
Required skills
Python, NumPy, pandas, data exploration, feature engineering, model tuning, understanding of ML objective functions and optimization techniques, software development practices (Git, design patterns)
Preferred skills
Experience with recommender systems, experience in customer-facing roles
Technologies
Python, NumPy, pandas, Git
Responsibilities
Explore datasets, train models, deliver recommendations, contribute to the evolution of the core recommendation platform
Seniority
Intern
