FAQs
What type of projects will I be working on as a Machine Learning Engineer Intern?
You could work on projects such as technical improvements in the product recommendation engine and its APIs, using machine learning models to predict user affinity with products or brands, improving existing models in production, extracting product attributes from data, and contributing to studies on the fairness of AI-driven advertisements.
What qualifications are needed for this internship?
You should be in your last year of a BSc/MSc degree in a quantitative field such as Engineering, Mathematics, Statistics, or Computer Science. Additionally, experience with statistical learning techniques and proficiency in high-level programming languages like Python, Scala, Java, or C* is required.
Is prior experience in machine learning necessary to apply for this internship?
No, while experience with machine learning is beneficial, we acknowledge that many candidates may not meet every single requirement. If you believe you can bring value to the role, we encourage you to apply.
What skills are important for a Machine Learning Engineer Intern?
Important skills include experience with traditional and modern statistical learning techniques, data processing capabilities, and good communication skills in English.
Will I have the opportunity to work with a mentor?
Yes, you will work closely with your mentor to drive your project, design, and ensure best practices are applied, while also having the opportunity for knowledge sharing.
What is the company culture like at Criteo?
Criteo's culture is unique and diverse, focusing on collaboration, inclusivity, and treating all employees equally, with a strict policy against discrimination and harassment.
What kind of benefits does Criteo provide to its employees?
Criteo offers comprehensive perks and benefits that support physical, emotional, and financial wellbeing, as well as personal interests and important life events.
Do I need to meet all the qualifications listed in the job description to apply?
No, we understand that not all candidates may meet every role requirement. If you feel you can add value to the position, we encourage you to submit your application.
How does Criteo ensure a fair working environment?
Criteo is committed to equal treatment of all workers and does not tolerate discrimination based on various protected characteristics. Employment decisions are based solely on business-related considerations.
Is there an opportunity for career progression after the internship?
While specific details on career progression may vary, Criteo aims to create a place where employees can grow and learn from each other, potentially leading to further opportunities within the company.