Responsibilities

As a researcher on the project, you will be empowered to collaborate with various members of the team, designing, implementing, and applying machine learning solutions to various aspects of the system, with the goal of making Silica into a successful storage technology deployed at scale in the cloud.  Problem areas broadly include: computer vision for object detection and recognition, ML-driven discovery and optimization of new physical processes, hardware/software co-optimization, RL control, etc.

Qualifications

• Required
  • Completed (or on-track to complete) a PhD in a relevant discipline.
  • Knowledge of deep learning.
  • Interest in applied research with real high-world impact.
  • Strong software engineering skills for rapid and accurate development.
  • Creative and collaborative approach to problem solving.
• Preferred:
  • Publications in top tier conferences.
  • Working knowledge of storage systems or storage development.
  • Hands-on experience with current deep learning frameworks (e.g., PyTorch, Tensorflow, etc.)

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. 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.