Microsoft Research Intern - Microsoft Outlook 

United States, Washington 

662989031

This position is for a Research Internship with the Intelligent Networked Systems group in MSR’s Redmond Lab, in partnership with the product group Experiences and Devices. Our group conducts cutting edge research in networked systems, including edge AI, wide-area networking, and wireless technologies.

• Currently pursuing a PhD in Computer Science, Machine Learning, 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.

• Proven foundation in natural language processing (NLP) and deep learning.
• Familiarity with 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
• Knowledge of scalable architectures, distributed systems, or edge computing.
• Can demonstrate at least 1 year experience conducting original research in (or closely related to) Natural Language Processing, ML and Deep Learning, Distributed Systems and Cloud computing, scalable system design,
• 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 AI/ML or NLP conferences (e.g., NeurIPS, ACL, EMNLP).

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Key Responsibilities:

• Conduct research on scalable LLM architectures for email prioritization.
• Explore opportunities to blend diverse methodologies for maximizing efficiency and contextual understanding.
• Collaborate across disciplines to ensure successful integration of next-generation technologies into operational systems.
• 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 email prioritization for large scale systems.
• You will also be working towards submitting a patent application and publishing a research paper summarizing the challenges of scaling LLMs for email prioritization, the design of the solution and experimental findings.