Full Time opportunities for students & recent graduates: Microsoft AI Development Acceleration Program: Data Scientist, Software Engineer, Program Manager

Microsoft - Cambridge, MA4.2

30+ days agoFull-timeEstimated: $110,000 - $140,000 a year
EducationSkills
A new technology paradigm is emerging, one with an intelligent cloud and an intelligent edge. To foster Microsoft’s leadership in this field, Microsoft has launched a ground-breaking new program to develop the next generation of leaders in AI. Located at the Microsoft New England Research and Development Center (NERD), the Microsoft AI Development Acceleration Program is hiring graduates from BS, MS, and PhD programs. 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 researchers and engineers across the company. After the program is completed, each participant will have the opportunity to work in one of our businesses in New England or another Microsoft location.

Applications to these opportunities are considered for all available AI Development Acceleration Program roles including the ones described below, depending on education level and/or location. To be considered as a student or recent graduate, you should be within 12 months of graduation or graduated within the last 12 months.

Responsibilities
Data Scientist 2

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 to large-scale, high-dimensional data.
Stay current with the latest research and technology and communicate your knowledge throughout the enterprise.
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.

Data Scientist 1

Research, develop, and implement AI solutions in application projects for Microsoft’s products and services.
Select and apply appropriate statistical and machine learning to large-scale, high-dimensional data.
Integrate AI solutions into the overall product or service.
Stay current with the latest research and technology and communicate your knowledge throughout the enterprise.
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.
Up to 10% travel may be required.

Software Engineer

Lead the architecture design and the implementation of AI solutions in application projects for Microsoft’s products and services.
Test and review all new and modified code and data pipelines.
Build out new API infrastructure and endpoints, data pipelines, as necessary.
Build reporting and monitoring mechanisms into our solutions.
Analyze technology industry and market trends and choose their potential impact on the solutions.
Develop patterns, standards and guidelines necessary to uphold our design principles and maintain integrity of the product architecture.
Participate in key project design reviews.
Patent and publish relevant IP and scientific research.
Up to 10% travel may be required.
Program Manager

Collaborate with PM, development, and marketing teams across Microsoft to translate business needs into technical solutions.
Create and manage end-to-end project plans.
Ensure timely and high-quality of delivery.
Provide hands-on program management during analysis, design, development, testing, implementation, and post implementation phase.
Perform risk planning and management in projects.
Provide day-to-day coordination in our Scrum teams.
Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers.
Evangelize group work with stakeholders.
Up to 10% travel may be required.
Qualifications
General Quailfications

Currently pursuing a degree or graduated within last 12 months with a degree in the following field: Electrical Engineering, Computer Science, Data Science, Statistics, or other relevant fields.

You are energized by creating AI solutions that can positively impact the work and lives of millions of people.

You crave data-driven learning.

You are excited by the prospect of working on a wide variety of datasets and AI applications, across many products and engineering teams.

You believe that data science is a team sport.

You love being an active member of a diverse and inclusive cohort.

Data Scientist 2

PhD in the aforementioned fields.

Strong publication record.

Experience in any of the deep learning frameworks.

Experience in Python/R/Scala or similar.

Application experience in language, vision, graphics, gaming, recommendation systems, or other big-data applications a bonus.

Excellent written and oral communication skills.

Data Scientist 1

MS (or BS with 2+ years’ experience) in the aforementioned fields.
Strong background in machine learning and/or statistics.
1.5+ years’ experience in probabilistic graphical models/Bayesian networks/deep learning/other modeling paradigms.
Experience in Python/R/Scala or similar.
Research publications are a plus.
Excellent written and oral communication skills.

Software Engineer

BS/MS in the aforementioned fields.
Experience in developing in C/C++/Java/C# and 1+ scripting language.
Experience in database systems and systems engineering.
Experience in designing and developing high-scale distributed systems a plus.
Knowledge of lambda architectures a plus.
Knowledge of machine learning, data visualization, and AI a plus.
Excellent written and oral communication skills.

Program Manager

BS/MS in the aforementioned fields or business management, marketing, communication, or similar.
Experience in project/product/program management or customer design.
Excellent storytelling, team work, written and oral communication skills.
Experience in data analysis, data visualization, machine learning/data mining/AI a plus.

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.