Research Science: PhD Internship Opportunities

Key Skills

C Programming, C++, Computer Vision (CV), Deep Learning, Java Programming, MATLAB Programming, Natural Language Understanding-NLU, Neural Networks, Python Programming

Job Description

Overview

Come build community, explore your passions and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential—and excitement for the journey ahead.  

Microsoft works with the world’s best researchers, moving with the current of technology as it rapidly evolves. Together we share the motivation to seek innovative solutions to the world’s toughest challenges and improve the lives of people everywhere.

Microsoft provides a nurturing environment to support passionate researchers and engineers in AI technology innovation. We are seeking candidates excelling in deep thinking research aspects and fast-paced entrepreneurial execution. The ideal candidates should have the ability to work with researchers and product team colleagues at Microsoft to push forward research agendas, being a team player in a collaborative and supportive environment with outstanding programming skills.

We are seeking candidates with research skills and technical backgrounds. Applicants should demonstrate depth of knowledge in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence) as well as academia experience in data processing, experimentation, and modeling.

At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You’ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.

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.

Qualifications

Required Qualifications

• Currently pursuing a PhD degree in computer science, statistics, mathematics, or related technical field.
• Have at least one additional quarter/semester of school remaining following the completion of the internship.  

Preferred Qualifications

• Experience with one or more general purpose programming languages including: C/C++, Java, MATLAB or Python ideally languages such as pyTorch, Tensorflow and other deep learning toolkits.
• Experience (classroom or work related) in one or more areas of computer science, such as Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Science, Privacy, etc.

The base pay range for this internship is USD $6,290 - $12,170 per month. 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 $8,060 - $13,240 per month.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay

Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar (September – April).

Responsibilities

• 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.
• Analyze and improve performance of advanced algorithms on large-scale datasets and cutting edge research in machine intelligence and machine learning applications.
• Collaborate closely with team members on developing systems from prototyping to production level.
• Develop solutions for real world, large-scale problems.