Logo of Huzzle

Research Intern - Azure Front Door Edge Actions for Low Latency Compute

image

Microsoft

9d ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Redmond

AI generated summary

  • You must be pursuing a PhD in a related field, have ML and AI experience, programming skills in Python, and a proven record of optimizing latency in real-time systems.
  • You will develop Edge Actions for AI applications, research orchestration between Azure Front Door and regions, improve system performance, and deliver a prototype while contributing to patent and publication efforts.

Requirements

  • Currently pursuing a PhD in Computer Science, Machine Learning, or a related field.
  • 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.
  • Proficient foundations with ML models, LLMs, and their applications in real-world systems.
  • Proven experience with lightweight machine learning techniques and their integration with deep learning models.
  • Demonstrated proficiency in mixed-technologies and AI prototyping.
  • Expertise in scalable architectures, distributed systems, or edge computing.
  • Programming proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Demonstrates the ability to think unconventionally to derive creative and innovative solutions.
  • Experience working on large-scale systems handling high user and data volumes.
  • Demonstrated ability to optimize latency and computational efficiency in real-time applications.
  • Published research in top-tier systems, networking, and AI/ML conferences.

Responsibilities

  • Develop a suite of lightweight filters packaged as Edge Actions for AI applications such as video analytics, LLM queries, and personal assistants.
  • Conduct research on orchestrating AI applications between the Azure Front Door edge and Azure region.
  • Explore opportunities to trade off compute and bandwidth efficiency with latency and accuracy benefits.
  • Continuously assess and improve system performance to maintain robustness and efficiency under real-world conditions.
  • Provide insights and contribute to breakthroughs through prototypes, thought leadership, and knowledge sharing.
  • By the end of your internship you will deliver a working prototype, demonstrating Edge Actions at scale for real-world use cases.
  • You will also be working towards submitting a patent application and publishing a research paper summarizing the design of the solution and experimental findings.

FAQs

What is the duration of the research internship?

The research internship lasts for 12 weeks.

Where will the internship take place?

Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship.

What academic qualifications are required for this internship?

Candidates are required to be currently pursuing a PhD in Computer Science, Machine Learning, or a related field.

Is there an opportunity to publish research during the internship?

Yes, interns will work towards submitting a patent application and publishing a research paper summarizing their design and experimental findings.

What programming languages and frameworks should candidates be proficient in?

Candidates should have programming proficiency in Python and experience with machine learning frameworks such as TensorFlow and PyTorch.

What type of projects will interns be working on?

Interns will develop lightweight filters packaged as Edge Actions for AI applications, conduct research on orchestrating AI applications, and deliver a working prototype demonstrating Edge Actions at scale.

Are reference letters required for the application?

Yes, a minimum of two reference letters must be submitted as part of the application process.

What kind of experience is preferred for candidates applying for this role?

Preferred candidates should have experience with lightweight machine learning techniques, scalable architectures, distributed systems, or edge computing, as well as published research in top-tier systems, networking, and AI/ML conferences.

What is the pay range for this internship?

The base pay range for this internship is USD $6,550 - $12,880 per month, with specific ranges for the San Francisco Bay area and New York City metropolitan area being USD $8,480 - $13,920 per month.

Do interns have opportunities to collaborate with other researchers?

Yes, interns will collaborate with fellow doctoral candidates and other researchers, contributing to vibrant research and development strides.

Technology
Industry
10,001+
Employees
1975
Founded Year

Mission & Purpose

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. When we show up, we achieve more together. Microsoft operates in 190 countries and is made up of more than 220,000 passionate employees worldwide.