lavori presso Criteo in località Francia

Criteo is seeking a dynamic and visionary leader to head its AI Lab in Paris. The successful candidate will spearhead the research and development of cutting-edge AI technologies, ensuring the company's continued innovation and leadership in the field.

The Head of Criteo AI Lab will facilitate a culture of innovation, teamwork, and excellence within the lab. This involves creating an environment where team members feel encouraged to experiment, take risks, and share their ideas. By promoting open communication and collaboration, the Head of Criteo AI Lab will ensure that innovative solutions are developed and implemented effectively.

The role will also involve evangelisation for the value brought through the use of AI in Criteo, ensuring the company maintains its reputation as a thought leader in the space. The successful candidate will engage with industry and regulatory authorities, representing the perspective of Criteo, its clients, partners and other stakeholders. This will include, but be not limited to, engaging directly with clients, participating in conferences, publishing opinion pieces and speaking at industry events.

In addition to leading the AI Lab, the Head of Criteo AI Lab will play a pivotal role in influencing the adoption of AI across the entire business, including outside the R&D functions. This involves collaborating with senior leadership across various departments within the company to integrate AI solutions into Criteo’s products and services, ensuring that AI innovations benefit all aspects of the company. By fostering a culture of innovation and teamwork, the Head of Criteo AI Lab will help Criteo leverage AI to enhance customer engagement, streamline operations, and achieve strategic business goals.

Who You Are :

• Lead and manage a large team of over members, including both research scientists and AI engineers, in a multinational environment.
• Shape and evangelise the vision for AI within Criteo for the next three years, including the evolution of the underlying AI platform, the use of AI within the client facing feature sets and across the overall operation of the company. Ensure the vision is consistently renewed as technology evolves.
• Closely collaborate with the Product team, ensuring AI is used extensively and appropriately for supercharging the performance of Criteo products.
• Drive the development and implementation of modern AI techniques such as machine learning, deep learning, natural language processing, generative AI and computer vision.
• Ensure the successful delivery of AI-based innovations from initial concept through to production.
• Collaborate with cross-functional teams to integrate AI solutions into Criteo’s products and services.
• Maintain an up-to-date knowledge of advancements in AI technology and research.
• Represent Criteo AI Lab at industry conferences and events, sharing insights and developments.
• Facilitate a culture of innovation, teamwork, and excellence within the lab.
• Support the growth and mentorship of team members, fostering their professional development.
• Travel as necessary to collaborate with global teams and attend relevant events, managing budgets, timelines, and resources effectively to achieve goals.

Required Qualifications

• Extensive experience in managing large teams in a research and AI engineering setting.
• Proven track record of delivering AI-based innovation from concept to production.
• Strong understanding of modern AI techniques and their theoretical and practical applications.
• Proficiency in AB testing methodologies and the importance of statistical significance.
• Excellent leadership and interpersonal skills, with the ability to manage and inspire a diverse & global team.
• Strong problem-solving skills and a strategic mindset.
• Exceptional communication skills, both written and verbal.

Preferred Qualifications

• Experience developing AI driven innovation for the advertising technology industry would be advantageous.
• Knowledge of French is beneficial but not required.
• A PhD in Data Science or closely related discipline would be a significant advantage.