Researcher: PhD Internship Opportunities

Key Skills

Java Programming, Python Programming, SQL, Machine learning techniques, Deep Learning, MATLAB Programming, PyTorch, TensorFlow, Neural Networks

Job Description

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. The internship is designed not only for you to do great work with the opportunity to learn and grow, but to experience our culture full of diverse community connection, executive engagement, and memorable events.?

We’re a company of learn-it-alls?rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you??Learn more about our cultural attributes.?

Are you ready to join us and create the future??Come as you are, do what you love—start your journey with us today!

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 strong 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 stellar 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 strong academia experience in data processing, experimentation, and modeling.

Responsibilities

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

Qualifications

• Currently pursuing a PhD degree in computer science, statistics, mathematics, or related technical field and will have a minimum of one quarter, semester or term to complete after finishing an internship.
• 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, Trust & Safety, Software Engineering, Programming Languages, Distributed Systems, Human Computer Interaction, Networking, Operating Systems, Computer Architecture, Data Mining and/or Machine Intelligence (Artificial Intelligence).
• Experience in leveraging and augmenting machine learning code base and libraries/toolkits to deliver new solutions.
• Experience contributing to research communities and/or efforts, including publishing papers (being listed as author) at conferences such as NIPS, ICML, ACL, CVPR, etc
• Should be able to take initiative, but also follow a research/productization plan and work well as part of a team.
• Excellent critical thinking and communication skills.

Preferred qualifications:

• Relevant work experience, including industry experience or as a Researcher in a lab.
• Publication Record
• Ability to design and execute on a research agenda.