Summary
Crossing Minds is seeking an applied machine learning engineer intern for their Paris office. The intern will work with other engineers to develop solutions for recommender systems, contribute to improving the tech stack, and impact business success. Proficiency in Python, data-oriented problem-solving skills, understanding of Machine Learning models, and ML feature engineering are required.
Requirements
- 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)
Responsibilities
- Develop solutions to challenging machine learning problems by exploring datasets, training models, and delivering great recommendations to customers
- Contribute to the evolution of our core recommendation platform
Preferred Qualifications
- 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
