Applied Machine Learning Internship, Crossing Minds

• Proficiency in Python, NumPy, and pandas libraries
• Data-oriented problem-solving skills: exploration, visualization, features extraction, and model tuning
• Understanding Machine Learning models: objective functions, regularization, gradient descent, optimization techniques, the curse of dimensionality, etc
• ML feature engineering (e.g., tokenization, pre-processing and aggregation, pre-trained embeddings)

Desirable

• As part of the applied machine learning engineering team at Crossing Minds, you will work with other engineers on the team to unlock the value of recommender systems for our customers
• You will develop solutions to challenging machine learning problems by exploring datasets, training models, and delivering great recommendations to our customers
• You will contribute to directly impacting not only the business success of our customers but also millions of people around the world in their discovery of items better tailored to their tastes
• Applied machine learning engineers are also critical contributors to the evolution of our core recommendation platform
• Each customer, each dataset, and each model offers a unique learning opportunity to improve our tech stack, allowing us to deliver the best recommendations with the least effort