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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

8Open Positions

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Machine Learning Engineer Intern

Criteo
Found 1 month ago
Location
Paris, France
Duration (Months)
3 Months
Time
Full-time
Work Mode
Hybrid
Salary
Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level.
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • Scala
  • Java
  • C*
  • quantitative field
  • Engineering
  • Mathematics
  • Statistics
  • Computer Science
  • traditional and modern statistical learning techniques
  • processing data

Soft Skills

  • communication skills

Job Description

In a team, you will be working closely with your mentor to drive your project, design and ensure best practices are applied. You can ask questions and participate in all knowledge sharing sessions/workshops, etc. You are encouraged to actively voice your ideas whilst learning how to build and ship quality code into production which will likely affect millions of users instantly. Identify key problems, devise solutions, build prototypes, and stay current on published state-of-the-art algorithms. Gather and mine large data sets for turning them into understandable and actionable insights to ensure Criteo remains one step ahead of competitive threats. You will develop high-performance algorithms, test and implement the algorithms in scalable, product-ready code.

Requirements

  • You are currently in your last year of Bsc/Msc degree in a quantitative field (Engineering, Mathematics, Statistics, Computer Science).
  • Experience with traditional and modern statistical learning techniques and you are proficient at processing data.
  • Implementation experience with high-level languages, such as Python, Scala, Java, C*.
  • Good communication skills in English.

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • AI-driven advertisement
▶Apply Now

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