Applied Scientist: Full Time Opportunities- Microsoft AI Development Acceleration Program
On-site
Job Description
Microsoft is committed to building Azure into an AI supercomputer for the world and to enable the use of this infrastructure to responsibly develop breakthrough foundational AI, including large language models (LLMs) that can empower people to better harness the world’s knowledge, revolutionize the way we interact with technology and improve user experience. To foster Microsoft’s leadership in this field, Microsoft has launched a ground-breaking program to develop the next generation of leaders in AI. Located at the Microsoft New England Research and Development Center (NERD) and our Atlanta office, the Microsoft AI Development Acceleration Program (MAIDAP) is hiring applicants currently pursing a degree and graduates from programs in Machine Learning or Data Science related fields. Over the course of two years, participants will work in interdisciplinary project teams to provide AI as a service to engineering teams across Microsoft and solve some of our most exciting and challenging AI problems. In addition, you will have mentors, exposure to leaders, and access to numerous AI data scientists, researchers and engineers across the company. After the program is completed, each participant will have the opportunity to work with one of the sponsoring Microsoft teams in Cambridge, MA, Atlanta, GA or other Microsoft locations.
Responsibilities
Job Requirements
Required/Minimum Qualifications
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- Must be available to begin full time employment starting July 2024
Additional or Preferred Qualifications
- Energized by creating AI solutions that can positively impact the work and lives of millions of people.
- A passion for data-driven learning.
- Excited by the prospect of working on a wide variety of datasets and AI applications, across many products and engineering teams.
- Believe that data science is a team sport.
- Love being an active member of a diverse and inclusive team.
- A background in machine learning and/or statistics.
- Experience in probabilistic graphical models/Bayesian networks/deep learning/reinforcement learning/time series/active learning, or other modeling paradigms.
- Experience in Python/R/Scala or similar
- Research publications are a plus.
- Proficient written and oral communication skills.
