Research Intern - AI-driven System and Database Design

at  Microsoft

Vancouver, BC, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate02 Jun, 2024USD 8500 Monthly02 Mar, 2024N/AData Processing,Citizenship,Ordinances,C,Model Design,Regulations,Research,Python,Cad,Architecture,Machine Learning,Database,Communication Skills,Computer Science,Color,C++,Microsoft,Mathematics,Models,Addition,Consideration,Database Design,EthnicityNoNo
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Description:

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.
Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.
As a Research Intern at Microsoft Research, you will be at the forefront of developing and implementing cutting-edge Artificial Intelligence (AI)-driven AI infrastructure. This role is ideal for candidates who are passionate about AI software and hardware development. You will collaborate with a team of world-class researchers and engineers in Vancouver, Canada, and Redmond, Washington to create the next generation of AI infrastructure that enhances the efficiency and effectiveness of AI.

REQUIRED QUALIFICATIONS

  • Currently enrolled in a bachelor’s, master’s, or PhD program in Computer Science, Electrical Engineering, Machine learning, Mathematics, or a related field.

OTHER REQUIREMENTS

  • Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
  • In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

PREFERRED QUALIFICATIONS

  • Proficient analytical and problem-solving skills and communication skills, both written and verbal.
  • Ability to work independently and collaboratively in a dynamic research environment.
  • AI-driven System Design
  • Proficient in machine learning concepts and models.
  • Research on how to use ML method to validate and verify the quality of the paragraph of text.
  • Hands-on experience with machine learning frameworks such as PyTorch and programming skills on C/C++ or Python.
  • Passionate about solving real-world large-scale infrastructure problems with AI Models. Experience with AI infrastructure or LLM would be a plus.
  • AI-driven Database Design
  • Proficient understanding of machine learning or database concepts.
  • Research expertise with database, data processing, data storage, vector indexing, and AI modeling is a plus.
  • AI Modeling
  • Proficient understanding of machine learning concepts.
  • Research expertise with AI modeling is a plus.
  • Deep Knowledge of AI model design, architecture, and application.
    Intern – Microsoft Research (MSR) - The typical base pay range for this role across Canada is CAD $8,500 - CAD $9,500 per month.
    Find additional pay information here:
    https://careers.microsoft.com/v2/global/en/canada-pay-information.html
    Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations

Responsibilities:

RESPONSIBILITIES

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

ADDITIONAL RESPONSIBILITIES

  • Development and Implementation: Design and develop AI-driven AI infrastructure. Implement prototypes and conduct simulations to test and validate them.
  • Research and Analysis: Conduct thorough research on emerging trends in AI software and hardware infrastructure.
  • Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and data scientists, to integrate your ideas with existing and future AI projects.
  • Documentation and Reporting: Prepare detailed documentation of simulations, methodologies, and findings. Present results and insights to team members and stakeholders.
  • Innovation and Problem-Solving: Identify challenges and bottlenecks in AI infrastructure and propose innovative solutions.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - System Programming

Information Technology

Phd

Proficient

1

Vancouver, BC, Canada