Applied Machine Learning Internship
Paris
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type Full-Time Local
Read the full posting
What you’ll work on
Full postingYou will develop solutions to challenging machine learning problems by exploring datasets, training models, and delivering great recommendations to our customers.
From the employer’s posting
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.
Tools in this posting
- Python
- NumPy
- pandas
Source — Tool mentions in context
What you should have - Proficiency in Python, NumPy, and pandas libraries - Data-oriented problem-solving skills: exploration, visualization, features extraction, and model tuning
Job description
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.
Employment type
Full-Time Local
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Paris
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 12, 2026
- Recorded sightings
- 9
- Last seen by us
- Oct 7, 2026
- Employer says posted
- Nov 29, 2022
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.