Applied Machine Learning Internship

3 г. назад

FranceEuropeTraineeOnsite

machine learningdata analysispython

Internship role applying machine learning to develop recommender systems for business and user impact.

is an artificial intelligence company founded in 2017 by AI researchers Alexandre Robicquet, Dr. Emile Contal, and Google X founder Dr. Sebastian Thrun. While researching together, they realized there was a more thoughtful way to make recommendations. While our founding team includes world-renowned AI pioneers and experts, our company exists because we believe that the latest advancements in machine learning shouldn’t be locked up in academia. Instead, they should be accessible through safe and concrete products built for everyone. raised $10 million in October 2021 and is the only AI recommender system backed by Shopify. Our customer roster includes companies such as Brut, Chanel, Camp, and Reelgood. We are now in a new growth stage with a team of 30 members

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)
Experience with recommender systems in the form of an internship, course, or personal project
Experience with software development practices, including git proficiency, design patterns, and contributing to large code bases
Experience as a Machine Learning Engineer in a professional setting
Experience in customer-facing roles