Machine Learning Research Engineer at the Interdisciplinary Center Hi! PARIS

Hi! PARIS is the Center on Data Analytics and Artificial Intelligence for Science, Business and Society created by Institut Polytechnique de Paris (IP Paris) and HEC Paris and joined by Inria (Centre Inria de Saclay). Nested in the heart of the Palaiseau campus, France’s largest scientific research hub, Hi! PARIS combines the expertise of IP Paris’ schools, HEC Paris’ Business School and Inria to create a new international AI champion in science, technology and business. It has been backed by strong funding and support from major multinational companies - L'Oréal, Capgemini, TotalEnergies, KERING, Rexel, VINCI and Schneider Electric.

On a larger scale than ever before, Hi! PARIS is conducting groundbreaking and interdisciplinary research in AI and Data Science, shaping strategic insights for economic and public decision-makers in France and Europe as its mission is to be at the service of Science, Business and Society.

End of May 2024, the consortium led by HEC Paris and the Institut Polytechnique de Paris (École polytechnique, ENSTA Paris, ENSAE Paris, Telecom Paris, Telecom SudParis), and including Inria, CNRS, Ecole Nationale des Ponts et Chaussées and Université de Technologie de Troyes, has won " the IA Cluster" call for projects, based on its excellence in teaching, research, innovation and technology transfer, as well as the diversity of its training. Building on the Hi! PARIS interdisciplinary center for artificial intelligence and data analysis, the project has been awarded 70 million euros over five years to create one of the world's leading AI research, training and innovation clusters serving society in France.

With its project entitled "Hi! PARIS Cluster 2030", the Hi! PARIS Center brings together over 250 professors and researchers. Supported by, its ambition is to become a world leader, a destination of choice for the world's most talented students and professors, and an active member of other clusters.

The Center relies on the infrastructures of IP Paris and HEC Paris in these areas. It is a unique space for disruption, education and innovation.

As part of its development, the Hi! PARIS has made the strategic choice to set up an engineering unit (Hi! PARIS Engineering Team) whose mission is to support its professors and researchers in order to promote their work. By joining this emerging structure today, you will have the opportunity to get as close as possible to the most cutting-edge developments in AI and to contribute to the influence of French teaching and research in the field.

The incumbent assumes the role of a machine learning research engineer within the Hi! PARIS’ Engineering Team.

As Hi! PARIS acts on 4 pillars: Research, Education, Innovation and Society, the research engineer is required to work in the following proportions 70% Research 10% Education, 10% Innovation 10% Society. Work locations are at the Institut Polytechnique de Paris and the HEC Paris Campus.

Main missions:

Activities within the Engineering Team of the Hi! PARIS Center

1.Research (70%)

• Development of machine learning algorithms in various fields (NLP, Image, Sound, Signal, Economy, ...) and python packages (e.g. scikit-network, python optimal transport, ...)

• Deployment of models on GitHub as a package or on Hugging Face

• Use of scientific computing infrastructure and software

• Collect, build and tailor large datasets for training machine learning models

• To ensure the practical research work in collaboration with professors and researchers from HEC Paris, IP Paris schools and INRIA Saclay

  2. Education (10%)

• Support for teaching through the organization of student events: Hi!ckathon, Summer School and the Data Bootcamp.

  3. Innovation (10%)

• Support AI Startups from the HEC Paris or Institut Polytechnique de Paris on advising on AI models and Infrastructure.

 4. Society (10%)

• Every team member can dedicate 10% of his time to working on Societal projects such as working on projects with the association DataForGood.

 Actively participate in the life of the Engineering Team of the Hi! PARIS Center.

Preferences :

An AI engineer with knowledge of model deployment and past startup experience, putting models into production.

Key interactions with

• The engineers at the Hi! PARIS Center

• The Manager of the Hi! PARIS Engineering Team

• Professors and researchers benefiting from the support of the Centre's engineering unit

• The Centre's operational management

• Some members of the Academic Operational Committee and some sponsors depending on the activities on which the unit is mobilized

Skills :

Knowledge

• Data Science Knowledge

• Knowledge of algorithmic processing

• Mastery of AI model deployment (GitHub, GitHub Actions, Docker, MLFlow)

• Proficiency in computer languages such as Python/C++/R and knowledge of the tools used in machine learning (Scikit-learn, TensorFlow, Keras, PyTorch ...)

• Professional experience in software development (ideally in data science)

• Fluency in French and English, written and oral

• Knowledge of a technology sector, ideally related to artificial intelligence and data

• Appetite for teaching data science and pedagogy

• Data Engineering best practices

 Know-how

• Rigorous organizational skills

• Ability to work effectively in a team

• Writing skills

• Know how to anticipate, prioritize / plan actions

• Analyze, synthesize, and transmit information

 Interpersonal skills

• Ability to listen and dialogue with a wide variety of interlocutors (e.g., Professors-researchers, PhD students, Engineers from HEC Paris and IP Paris schools)

• Autonomy, initiative, and adaptability

• Responsiveness and curiosity

• Professional rigor

Date of taking desired position : As soon as possible

Employment contract : 3-year fixed-term contract (renewable) - public law contract, Category A.

Institut Polytechnique de Paris is committed to recruitment that promotes equality, diversity and inclusion. All applications are considered without distinction. All our positions are accessible to people with disabilities.