Machine Learning Engineer job from Criteo in 75009 Paris 9e, France

Sunday 8th, May 2022

75009 Paris 9e

Full-Time

Insurance

Criteo is a reputed company based in 75009 Paris 9e. We are looking for talented professional from the field of Insurance to join our team as Machine Learning Engineer.

Who we are


At Criteo, our culture is as unique as it is diverse. With offices around the world, our incredible team of 2,600 Criteos collaborates to create an open & inclusive environment. We work together to achieve our goals, push boundaries, and be impactful. All of this supports us in our mission to power the world’s marketers with trusted & impactful advertising.

Who we are

At Criteo, our culture is as unique as it is diverse. With offices around the world, our incredible team of 2,600 Criteos collaborates to create an open & inclusive environment. We work together to achieve our goals, push boundaries, and be impactful. All of this supports us in our mission to power the world's marketers with trusted & impactful advertising.

What is it like to work in our R&D?

Most of all, we are creators. From designing ground-breaking products to finding unique ways to solve technical challenges at an exceptional scale, our tech teams work with state-of-the-art methodologies to shape the future of advertising. The Criteo AI Lab brings together researchers, machine learning engineers, and data scientists. Our mission is to develop advertising solutions that provide value to Internet users around the world. We do so by pushing state-of-the-art ML methodologies into our products to drive better performance, and act as the center of Machine Learning research and engineering excellence.

What you will do

  • 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 develop high-performance algorithms for precision targeting, test and implement the algorithms in scalable, production-ready code

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

  • In closed relationship within the research community, you will maintain world-class academic credentials through publications, and presentations in academic conferences.

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 traditional as well as modern statistical learning techniques

  • You are able to propose, conduct and report results of original research, plus collaborative research with publications

  • You have outstanding communication skills both written and oral


What we offer

  • Competitive compensation package

  • 35 annual holidays days (25 + 10 RTT)

  • Health insurance

  • Personalized relocation package if moving from abroad

  • Remote work policy

  • Catered lunch

  • Private nursery

  • Discounted transport and sports activities

  • Maternity and paternity leave

  • 2 conferences per year of your choice (1 International + 1 national)

  • Internal mobility programs

  • Tailored educational resources (Courseras, MOOC, Internal trainings ...)

  • Annual cross teams hackathon

At Criteo, we are committed to creating an environment where all Criteos feel a sense of belonging. We nourish our diversity by listening to all cultures within Criteo - and there are many. We are proud to be a global team and conscious that it takes people with different perspectives, thoughts and cultures to succeed.

Criteo collects your personal data for the purposes of managing Criteo's recruitment related activities. Consequently, Criteo may use your personal data in relation to the evaluation and selection of applicants. Your information will be accessible to the different Criteo entities across the world. By clicking the "Apply" button you expressly give your consent.

Skills required

How To Apply

Please submit your application as instructed in the job advert or Apply from Company Website