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Urgent! Applied Scientist II: Microsoft AI Development Acceleration Program, Redmond Job Opening In Redmond – Now Hiring Microsoft
Overview
Come build community, explore your passions, and do your best work at Microsoft.
This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.
Microsoft is dedicated to transforming Azure into a global AI supercomputer, enabling the responsible development of cutting-edge foundational AI.
This includes large language models (LLMs) designed to empower people to harness the world's knowledge, revolutionize interactions with technology, and enhance user experiences.
To solidify our leadership in AI, Microsoft has launched a groundbreaking program to develop the next generation of leaders in this field.
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 problems.
In addition, you will have mentors, exposure to leaders, and access to numerous AI applied scientists, researchers, and engineers across the company.
After completing the program, participants have the opportunity to join one of the sponsoring product teams and further accelerate their careers at Microsoft.
MAIDAP Applied Scientists will have the opportunity to leverage or instantiate novel AI technologies into production by advancing the state-of-the-art both internally and externally to meet product needs.
Acting as the bridge between research and development (R&D), they will blend techniques from both researchers and development teams.
This approach drives data-driven, research-backed innovation from theory into reality, in collaboration with software engineers and product managers in MAIDAP, as well as partnering product and technology teams across Microsoft.
A PhD is preferred for this role, as it reflects advanced proficiency in scientific methodology, rigorous experimental design, and a strong commitment to reproducible research practices.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more.
As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Please note that this position has a single start date in July 2026, candidates must be available to start full-time in July 2026.
Unfortunately, we cannot accommodate earlier start dates.
#EiP #Maidap
Qualifications
Required Qualifications:
Preferred Qualifications:
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.
1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
Responsibilities
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Unlock Your Applied Scientist Potential: Insight & Career Growth Guide
Real-time Applied Scientist Jobs Trends in Redmond, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Applied Scientist in Redmond, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 16014 jobs in United States and 169 jobs in Redmond. This comprehensive analysis highlights market share and opportunities for professionals in Applied Scientist roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Microsoft is currently hiring and seeking a Applied Scientist II: Microsoft AI Development Acceleration Program, Redmond to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Microsoft adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Applied Scientist II: Microsoft AI Development Acceleration Program, Redmond Jobs United States varies, but the pay scale is rated "Standard" in Redmond. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Applied Scientist II: Microsoft AI Development Acceleration Program, Redmond typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Applied Scientist II: Microsoft AI Development Acceleration Program, Redmond interview at Microsoft, research the company, understand the job requirements, and practice common interview questions.
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