Research Intern - MSR AI Interaction and Learning

3 Months ago • 1 Years + • Artificial Intelligence • $78,600 PA - $154,560 PA

Job Summary

Job Description

This Research Internship at Microsoft's MSR AI Interaction and Learning (AIIL) group focuses on building symbiotic AI systems. The intern will contribute to projects in semantic telemetry, user modeling, interactive machine learning, and continual learning. Responsibilities include working with large datasets, developing models, performing evaluations, and collaborating with researchers and product teams. The internship requires experience in research, publications, and software development, and a preference for experience with foundation models, dialog systems, reinforcement learning, or NLP. The intern will collaborate on projects, present findings, and contribute to the research community. The internship is 12 weeks long.
Must have:
  • PhD student in CS/EE or related field
  • 1+ year research experience
  • Peer-reviewed publications
  • Software development skills
Good to have:
  • Experience with large foundation models
  • Proficiency in dialog systems, reinforcement learning, or NLP
  • Strong collaboration and communication skills
Perks:
  • Industry-leading healthcare
  • Educational resources
  • Product and service discounts
  • Savings and investment plans
  • Maternity/paternity leave
  • Generous time off
  • Giving programs
  • Networking opportunities

Job Details

Overview

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.

The  (AIIL) group in Microsoft Research focuses on building and analyzing symbiotic artificial intelligence (AI) systems, where knowledge workers and AI agents collaborate to produce outputs of ever-increasing value. To achieve this, our current projects topics include:

  • Semantic Telemetry and User Modeling: Assessing how people use copilot systems at scale and measuring value to the user. This includes work on measurement, evaluation, and synthetic data generation.
  • Interactive Machine Learning and Continual Learning: Utilizing interaction traces to extract signals (eg. preferences, feedback) and improve the performance of the AI systems. This includes work on personalization, recommendations, prompt optimization, fine-tuning, and alignment.

We work together with our collaborators in research and product teams on fundamental and applied research. We are particularly interested in candidates with a demonstrated desire to advance the state-of-the-art through research and experience in one or more of the following: Foundation Models, Dialog Systems, Agents, Reinforcement Learning, Natural Language Processing, Interactive Learning, Behavioral Modeling, Artificial Intelligence, Machine Learning, Search/Recommendation, Computational Social Science, Computation Economics, or Human-AI Collaboration. Candidates are encouraged to browse some of our  for examples of active areas of research in the group.

Qualifications

Required Qualifications

  • Currently enrolled in a PhD program in CS, EE or a related STEM field. 
  • At least 1 year of experience conducting research, writing peer-reviewed publications and software development

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

  • Ability to think unconventionally to derive creative and innovative solutions.
  • Actively conducting research in at least one of the following areas: large foundation models, dialog systems, reinforcement learning, natural language processing, interactive ML, recommender systems, multi-agent systems, artificial intelligence, machine learning, information retrieval, computational social science, computational economics, or human-ai collaboration.
  • Ability to collaborate effectively with your mentor and others in Microsoft on research projects.
  • Proficient interpersonal skills, cross-group, and cross-culture collaboration skills.

The base pay range for this internship is USD $6,550 - $12,880 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,480 - $13,920 per month.

 

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

Microsoft accepts applications and processes offers for these roles on an ongoing basis.

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.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect

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