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Research Scientist - PhD candidate - Next-Generation Generative Models for Search and Recommendation

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Criteo

17d ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development

AI generated summary

  • You need a master’s in computer science or applied math, strong machine learning knowledge, hands-on deep learning experience, and solid technical programming skills.
  • You will conduct research on generative deep learning, develop a unified engine for search and recommendation, and adapt models for dynamic adtech datasets.

Requirements

  • You hold a master's degree in computer science or applied mathematics, and/or a diploma from an engineering school.
  • You have a strong background in machine learning—both theory and practice—with hands-on experience in deep learning projects and, ideally, large-scale experiments.
  • You possess solid technical programming skills.

Responsibilities

  • Criteo AI Lab, operates within the spectrum of two main areas: ML Engineering and ML Research.
  • The position is opened for working in the research department.
  • Research here is mainly dedicated to machine learning topics.
  • The analysis of semantic data has become a major R&D topic for a variety of Criteo business.
  • The PhD offer targets recent advances in the domain of generative deep learning.
  • The goal of this PhD project is to explore this research direction.
  • The first step will be to develop a unified generative engine for both search and recommendation, allowing for seamless alternation between the two modes during interactive sessions using a single engine.
  • This is also a step toward realizing foundation models that offer a variety of functions to enhance user interactions.
  • The second step will involve adapting this model to the large-scale, dynamic corpora characteristic of recommendation systems in the adtech industry, which presents additional research challenges.

FAQs

What is the main focus of the Research Scientist position at Criteo?

The main focus is on machine learning research, specifically targeting next-generation generative models for search and recommendation systems.

What qualifications are required for this PhD candidate position?

A master’s degree in computer science or applied mathematics, or a diploma from an engineering school is required, along with a strong background in machine learning and solid programming skills.

What are GenIR and GenREC?

GenIR (Generative Information Retrieval) and GenREC (Generative Recommendation) are emerging paradigms that utilize foundation models to enhance search and recommendation processes by integrating various components into a unified generative model.

Will I have the opportunity to work on large-scale experiments?

Yes, hands-on experience in deep learning projects, including large-scale experiments, is part of the desired qualifications for this position.

Is prior experience in deep learning essential?

While a strong background in machine learning theory and practice is essential, candidates may still apply even if they do not meet every single requirement, as alternative valuable experience will be considered.

What is the goal of the PhD project mentioned in the job description?

The goal is to develop a unified generative engine for search and recommendation, allowing seamless interaction between the two modes and adapting the model to dynamic corpora in the adtech industry.

Will I be working in a diverse and inclusive environment?

Yes, Criteo is committed to fostering a diverse and inclusive environment, ensuring that all workers are treated equally and that discrimination is not tolerated.

What benefits can I expect when joining Criteo?

Criteo offers valuable benefits that support physical, emotional, and financial wellbeing, as well as opportunities for growth, learning, and making a meaningful impact.

Is the position primarily remote, onsite, or hybrid?

The position supports a hybrid work model, allowing for both remote and onsite work options.

How does Criteo approach employment decisions?

Criteo ensures that employment decisions are based solely on business-related considerations and not on any protected characteristics, as outlined in their Code of Business Conduct and Ethics.

The future is wide open.

Marketing & Advertising
Industry
1001-5000
Employees

Mission & Purpose

Criteo is a global technology company specialising in digital advertising. They provide personalised advertising solutions to businesses, utilising data analysis and machine learning algorithms to deliver targeted and relevant ads to consumers across various devices and channels. Their ultimate mission is to connect brands with their target audiences, driving engagement, and maximising advertising effectiveness. Criteo's purpose is to empower marketers and advertisers with advanced technology and insights, enabling them to reach the right users at the right time with compelling and personalised advertising messages. By leveraging data-driven advertising solutions, Criteo aims to create meaningful connections between brands and consumers, optimise marketing ROI, and enhance the overall digital advertising ecosystem.

Benefits

  • Flexible Work

    We trust you to choose where you work best, whether it is from home or at the office.

  • Self-Development & Learning Opportunities

    We provide a large panel of learning tools and project opportunities for you to grow personally and professionally during your time with us.

  • Health & Well-being

    We want our employees to be happy and healthy, so we offer plenty of Feel-Good Initiatives to help you unwind and take care of yourself.

  • Supporting Families

    Your personal projects matter to us, and we have developed various initiatives to support parents and family-forming.

  • Belonging & Giving Back

    All our Criteos have embraced our values of Open, Together, and Impactful, so we make it easier for you to give back through social and environmental projects.