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Machine Learning Internship
Confirmed live in the last 24 hours
Toronto, ON, Canada
Experience Level
Desired Skills
  • 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)
  • Preferred Skills
  • 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
  • Optional
  • Experience as a Machine Learning Engineer in a professional setting
  • Experience in customer-facing roles
  • We seek an applied machine learning engineer intern to join Crossing Minds' Toronto office
  • As part of the applied machine learning engineering team at Crossing Minds, you will play an integral role in unlocking 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. Your contributions will directly impact the business success of our customers and millions of people worldwide 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
Crossing Minds

11-50 employees

Perceptive recommendation & discovery platform
Company Overview
Crossing Minds' mission is to help businesses create magic moments for their customers by proactively surfacing the items that are most relevant to them. The company makes AI technology that fuels the smartest recommender system for eCommerce, marketplaces, streaming services, and more.
  • Medical, dental, & vision insurance
  • Employer-matched 401(k)
  • 20-day PTO
  • 9-days of paid holiday
  • Company shutdown from 12/24 - 01/01
  • Professional education opportunities
  • Voluntary Travel Policy
  • Visa support, if needed