1 Emplois pour Responsabilité Sociale - France

The AI for Good Lab is hiring a Senior Research Scientist (ML, AI for Good Lab - Social Impact) with deep geospatial ML expertise to join our team in Strasbourg or Redmond. Our Lab leverages the power of data, our cloud technology, world-class talent to catalyze and inspire others to partner in tackling some of the world's most pressing challenges. Over the past few years, the Lab has become a data and AI driven solution creator, storyteller and trusted advisor working closely with leaders across Microsoft, academia, NGOs, and all levels of government to deliver impact, data-driven solutions. Our mission is to be one of the top applied research and data visualization labs driving positive change and serve as a blueprint for others. We strongly believe in co-development in developing applications and solutions for impact in public good.
**Why Join Us?**
This is a unique opportunity to join the AI for Good team that is led by Microsoft's Chief Data Scientist and Corporate Vice President. As a member of the Lab, you will work on projects that help save lives, alleviate suffering, and restore human dignity. Your work will be a fusion of AI development, data engineering, and collaborative solution-building with Microsoft's partners, NGOs and government institutions. You will be surrounded by a collaborative team of leading researchers who are deeply committed to the mission of AI for Good. You will also have access to Microsoft's technological resources and global scale to generate solutions to some of the most demanding and defining challenges of our time.
Our research philosophy encourages knowledge sharing so you will contribute to the AI for Good research community by publishing papers, collaborating with leading academic institutions, and speaking and participating at leading industry events.
We don't do this work alone - we strongly believe in **co-development** with our partners, building solutions together that are user-driven, grounded in shared purpose and real-world impact.
**Responsibilities**
+ Design and implement machine learning and AI solutions with a focus on geospatial analysis for applications ranging from food security, biodiversity, disaster response, to health, and human rights.
+ Identify and curate diverse data sources for use in artificial intelligence and statistical modeling.
+ Collaborate closely with AI research scientists, data analysts, data engineers, business and project stakeholders and incorporate their expertise into your analytical solutions.
+ Partner with NGOs, academic institutions, and government agencies to help advance their efforts in addressing food security, environmental concerns, disaster resiliency, and health.
+ Represent the Lab's capabilities and projects to internal and external leadership audiences, delivering compelling written and oral presentations to both technical and non-technical audiences.
+ Advance the research agenda for AI For Good initiatives: Prepare technical and scientific papers and presentations, and publish them internally and externally.
**Other**
+ Embody our culture and values
**Qualifications**
**Required/Minimum Qualifications**
+ Doctorate in Computer Science, Data Science, Mathematics, Engineering, Physics, Geospatial Sciences, or other relevant field
+ OR equivalent experience
+ Demonstrable experience with building complex AI & ML models
**Additional or Preferred Qualifications**
+ Experience building artificial neural networks
+ Interest for public good and collaborative development
+ 3+ peer-reviewed journal publications or conference presentations (preferably on Computer Vision and/or Remote Sensing)
+ Demonstrable experience in delivering AI projects
+ Knowledge of PyTorch
+ Proficient written and oral communication skills
+ Experience working with satellite imagery
+ Experience working with a distributed team and with partners across disciplines
#CELA
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .