Applied Machine Learning Internship
1 Dec 2022
Paris, France
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
75 / 100
Offer value
Internship offers an excellent entry point into applied machine learning, albeit with limited immediate compensation yet rich learning opportunities in a rapidly expanding company.
- Great entry-level opportunity in a growing AI company.
- Potential for internship to turn into full-time job.
- Hands-on experience with real-world recommender systems.
Pros
- Direct involvement in impactful projects for notable clients.
- Opportunity to learn from experienced AI researchers.
- Chance for the internship to convert to a full-time position.
Cons
- Internship roles often come with lower pay.
- Limited experience in a startup may not suit everyone.
- High expectations in terms of learning and adapting quickly.
Who it's for
Intern • On-site
Good fit
- Recent graduates or students majoring in computer science or ML.
- Individuals eager to learn in a startup environment.
- Aspiring AI practitioners interested in dynamic projects.
Not recommended for
- Professionals with significant experience in ML roles.
- Candidates seeking immediate high compensation.
- Individuals preferring structured corporate environments.
Motivation fit
Desire to begin a career in machine learning and AI.Interest in practical application of theoretical knowledge.Eagerness to contribute to meaningful product development.
Key skills
Proficiency in Python and libraries such as NumPy and pandas.Understanding of machine learning concepts.Problem-solving and data exploration skills.
Score: 75/100 AI verified analysis
About the job
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.
