Microsoft AI Development Acceleration Program- Applied Scientist: Full Time Opportunities for PhD Graduates, Cambridge, MA
Full Time
Cambridge, MA
Posted
Job description
Every year, we welcome thousands of university graduates from every corner of the world to join Microsoft. You bring your aspirations, talent, potential—and excitement for the journey ahead.
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 PhD degree and PhD 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.
Must be available to begin full time employment starting Summer 2023.
Responsibilities
- Research, develop, and lead the implementation of AI solutions in application projects for Microsoft’s products and services.
- Select and apply appropriate statistical and machine learning techniques to large-scale, high-dimensional data.
- Stay current with the latest research and technology and communicate your knowledge throughout the organization.
- Take responsibility for preparing data for analysis, review data preparation/ETL code and provide critical feedback on issues of data integrity.
- Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers.
- Patent and publish relevant IP and scientific research.
- Up to 10% travel may be required.
Qualifications
Required/Minimum Qualifications
- Doctorate in Statistics, Mathematics, Computer Science, Electrical or Computer Engineering, or related field
- OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Mathematics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
Additional or Preferred Qualifications
- Strong publication record in any of the following modeling paradigms: LLMs/probabilistic graphical models/Bayesian networks/deep learning/reinforcement learning/time series/active
- Experience in any of the deep learning frameworks.
- 2+ years experience and proven knowledge in Python/R/Scala or similar.
Application experience in language, speech, vision, graphics, gaming, recommendation - systems, or other big-data applications a bonus.
- Excellent written and oral communication skills
- Energized by creating AI solutions that can positively impact the work and lives of millions of people.
- Strong 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 AI is a team sport
- Love being an active member of a diverse and inclusive cohort.
Visit our Careers FAQ Page to learn more about the interview process and answers to commonly asked questions.
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $94,300 - $182,600 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 $120,900 - $198,600 per year.
Microsoft has different base pay ranges for different work locations within the United States, which allows us to pay employees competitively and consistently in different geographic markets (see below). The range above reflects the potential base pay across the U.S. for this role (except as noted below); the applicable base pay range will depend on what ultimately is determined to be the candidate’s primary work location. Individual base pay depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time.
At Microsoft certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. Benefits/perks listed here may vary depending on the nature of employment with Microsoft and the country work location. U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others. U.S.-based employees also receive, per calendar year, up to 10 scheduled paid holidays, and up to 80 hours Holistic Health Time Off. Additionally, hourly/non-exempt employees accrue up to 120 hours paid vacation time, and salaried/exempt employees have Discretionary Time Off (DTO).
Our Commitment to Pay Equity
We are committed to the principle of pay equity – paying employees equitably for substantially similar work. To learn more about pay equity and our other commitments to increase representation and strengthen our culture of inclusion, check out our annual Diversity & Inclusion Report. ( https://www.microsoft.com/en-us/diversity/inside-microsoft/annual-report )
Understanding Roles at Microsoft
The top of this page displays the role for which the base pay ranges apply – Applied Sciences IC3. The way we define roles includes two things: discipline (the type of work) and career stage (scope and complexity). The career stage has two parts – the first identifies whether the role is a manager (M), an individual contributor (IC), an admin-technician-retail (ATR) job, or an intern. The second part identifies the relative seniority of the role – a higher number (or later letter alphabetically in the case of ATR) indicates greater scope and complexity.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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