The Role
The intern will assist the applied machine learning engineering team in developing recommender systems, training models, and enhancing the core recommendation platform.
Summary Generated by Built In
Crossing Minds 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.
Crossing Minds 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 and are excited to continue developing talent in our San Francisco, Paris, and Toronto offices.
We seek an applied machine learning engineer intern to join Crossing Minds’ Paris office.
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.
What you should have
- 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
Optional
Our company-wide communication language is English (written & spoken).
We would appreciate if you could send us your application’s content (CV, cover letter) in English.
This internship is a pre-hire position, and our goal would be to see this internship convert into a full-time position.
The Crossing Minds team prides itself on our team culture and values. Our differences are valued, and our authenticity is celebrated. We are committed to nurturing an environment of mutual respect where equal employment opportunities are available to all.
Top Skills
Numpy
Pandas
Python
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The Company
What We Do
Crossing Minds is the smartest platform powering perceptive recommendations that drive online discovery and engagement. Founded and led by world-renowned AI pioneers and powered by the latest advances in deep learning, Crossing Minds instantly delivers precise, session-based recommendations that don’t infringe on or jeopardize customer privacy.
We help businesses engage their customers.
We help people discover products they love.
We help turn curiosity into loyalty.
