Skip to main content

Senior Machine Learning Engineer

What You'll Do:

The Criteo AI Lab is pioneering innovations in computational advertising. As the center of scientific excellence in the company, we deliver both fundamental and applied scientific leadership through published research, product innovations and new technologies powering the company’s products.

When an idea or a prototype has reached a sufficient maturity level and proven potential value for our customers, it is time to clear the road to go into production. And at Criteo this often means being able to go full throttle: either answer up to hundreds of million requests per second in a low latency setup or process up to petabytes of data in a high throughput setup. In any case our engineers are here to translate these emerging algorithms into full scale solutions and build reliable platforms to make them operate flawlessly.

  • You will design scalable and high-performance machine learning algorithms

  • You will gather and analyze data, identify key prediction/classification problems, devise solutions, build prototypes, and stay current on published state-of-the-art algorithms

  • You will also be in charge of investigating new academic and industrial machine learning and modeling techniques to apply to our specific business cases

  • Who You Are:

  • Master degree/PhD in Machine Learning, Computer Science or a related quantitative field

  • Experience in development in at least one mainstream programming language (Python, Java, C++ etc.)

  • You are skilled in sourcing, cleaning, manipulating and analyzing large volumes of data, ideally in a Hadoop programming environment.

  • You have experience with a wide range of traditional and state-of-the-art machine learning techniques

  • You have good communication skills both written and oral

  • D'autres ont aussi consulté

    Senior Machine Learning Engineer

    Entreprise:
    Criteo
    Ville:
    Paris
    Type de contrat: 
    CDI, Temps plein
    Catégories: 
    Ingénieur Machine Learning
    Diplôme: 
    Master
    PhD
    Niveau de carrière: 
    Senior
    Publiée:
    23.01.2024
    Partagez maintenant: