Internship
The AI for Good Research Lab uses AI and data to address some of the greatest challenges facing humanity. We are headquartered in Redmond, WA, and have an office in Nairobi, Kenya. We work on issues that will improve societies and environments with a focus on food and water security, disaster response and early warning, biodiversity and conservation. Our technical specialties are in areas as diverse as geospatial imagery, computer vision, bioacoustics, and language models. If you have experience in large language models, computer vision, statistics, and artificial intelligence, you have a fantastic opportunity to join the AI for Good team that is led by Microsoft’s Chief Data Scientist.
Qualifications
Required/Minimum Qualifications :
· Must be currently enrolled in a PhD program in Computer Science or a related STEM field.
· Must have at least 2 years of experience with modeling in Python.
· Must have at least 2 years of experience with deep learning models.
Preffered Requirements:
Experience with PyTorch or TensorFlow, particularly computer vision models.
Responsibilities
Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, interns learn, collaborate, and network for life. Interns not only advance their own careers, but they also contribute to exciting research and development strides. Interns are paired with mentors and expected to collaborate with other interns and researchers, present findings, and contribute to the vibrant life of the community.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
- Industry leading healthcare
- Educational resources
- Discounts on products and services
- Savings and investments
- Maternity and paternity leave
- Generous time away
- Giving programs
- Opportunities to network and connect
Microsoft is an equal opportunity employer. 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.