Machine Learning Engineer job from Criteo in 75009 Paris 9e, France
Sunday 8th, May 2022
75009 Paris 9e
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)
Personalized relocation package if moving from abroad
Remote work policy
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.
How To Apply
Please submit your application as instructed in the job advert or Apply from Company Website