Machine Learning NYC

Established: December 12, 2012

Research of the Machine Learning group at MSR-NYC spans a wide variety of topics within theoretical and applied machine learning, including learning from interactive data (e.g., contextual bandits and reinforcement learning), online learning, prediction markets, and Bayesian latent variable modeling. Scroll below to view our group members and publications.

Researcher Positions

Seeking Full-time Researchers

Deadline for Full Consideration: November 27, 2016

Microsoft Research NYC seeks outstanding and experienced applicants for full-time researcher positions in machine learning or a related field, such as statistics, computer vision, natural language processing, or other subfields of artificial intelligence. We welcome applicants at all levels, especially those with several years of experience as a professor, researcher or equivalent. We particularly seek applicants with expertise that is complementary to our own.

Microsoft Research offers an exhilarating and thriving environment for cutting-edge, multidisciplinary research, both theoretical and applied, with access to an extraordinary diversity of big and small data sources, an open publications policy, and close links to top academic institutions around the world. We seek applicants from all areas of machine learning and related fields with a passion and demonstrated ability to craft and pursue an independent research program, including a strong publication record at top research venues and significant research experience beyond the doctorate or post-doctorate level. We especially welcome candidates who complement our efforts to expand the scope and effectiveness of machine learning approaches to both new and existing domains.

Researchers in our lab define their own research agenda, driving forward an effective program of basic and applied research. In addition to working on challenging and fundamental problems, they have the potential to realize their ideas in products and services used worldwide.

Microsoft Research New York City is the newest MSR lab, comprising roughly thirty full-time researchers and postdocs working in machine learning, systems, computational social science, algorithmic economics, information retrieval, and social media. The lab is highly collaborative and interdisciplinary, and is actively engaged with the local academic and tech communities. The machine learning group includes Alekh Agarwal, Miroslav Dudík, John Langford, Robert Schapire, and Hanna Wallach. For a sampling of recent publications, please see the MSR NYC Machine Learning website.

The ideal candidate for this position will have:

  • a PhD in computer science, electrical engineering, statistics, mathematics, or a related field;
  • significant research experience beyond the doctorate or post-doctorate level (although stellar junior candidates may also be considered);
  • a well-established research program demonstrated, for example, by journal and conference publications, and participation on program committees, editorial boards, etc.;
  • strong communication skills;
  • the ability to work in a highly collaborative and interdisciplinary environment;
  • demonstrated leadership;
  • complementary expertise.

How to apply

To apply, submit an online application on the Microsoft Research Careers website.  To be assured of full consideration, all materials, including reference letters, need to be received by November 27, 2016.  Applications received after that date may or may not be considered. In completing your application, please be sure to follow these additional instructions:

  1. In addition to submitting your CV and the names of at least three referees, as required by the online application, please also upload the following three attachments:
    • two conference or journal articles, book chapters, or equivalent writing samples (uploaded as two separate attachments);
    • an academic research statement (approximately 3-4 pages) that outlines your research achievements and agenda.
  1. Indicate that your research area of interest is “Machine Learning, Adaptation, and Intelligence” and that your location preference is “New York.” Include “Robert Schapire” as the name of a Microsoft Research contact (you may include additional contacts as well). Note: If you do not mark these preferences, it is very unlikely that we will receive your application.

After you submit your application, a request for letters may be sent to your list of referees 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 by our application deadline of November 27, 2016. You can check the progress on individual reference requests by clicking the status tab within your application page.

Postdoc Positions

Call for Postdocs

Application deadline: November 27, 2016

Microsoft Research NYC seeks outstanding applicants for a postdoctoral researcher in the area of machine learning or a related field.

Microsoft Research offers an exhilarating and thriving environment for cutting-edge, multidisciplinary research, both theoretical and applied, with access to an extraordinary diversity of big and small data sources, an open publications policy, and close links to top academic institutions around the world.  We seek applicants from all areas of machine learning and related fields with a passion and demonstrated ability for independent research, including a strong publication record at top research venues.  The start date for this position is July 3, 2017.

Postdoc positions at Microsoft Research provide emerging scholars an opportunity to develop their research careers as members of a very active machine learning community at a world-class research organization.  Postdocs in our lab are encouraged to define their own research agenda and to demonstrate their ability to drive forward an effective program of research.  They may also get the chance to see their ideas realized in products and services that will be used worldwide.

Microsoft Research New York City is the newest MSR lab, comprising thirty full-time researchers and postdocs working in machine learning, systems, computational social science, algorithmic economics, information retrieval, and social media.  The lab is highly collaborative and interdisciplinary, and is actively engaged with the local academic and tech communities.  The machine learning group includes Alekh Agarwal, Miroslav Dudík, John Langford, Robert Schapire, and Hanna Wallach. Examples of current machine learning projects and directions include:

  • Active learning.
  • Bayesian latent variable modeling.
  • Contextual bandits, exploration and incentives.
  • Ethics of machine learning.
  • Logarithmic-time prediction for problems with extremely large label sets.
  • Online learning and game theory.
  • Prediction markets and auction design.
  • Reinforcement learning for large complex environments, such as Minecraft.
  • Structured prediction, including applications to NLP.

For a sampling of recent publications, please see the MSR NYC Machine Learning website.

Postdocs receive a competitive salary and benefits package, and are eligible for relocation expenses.  Postdocs are typically hired for a two-year term appointment following the academic calendar, starting in July 2017.  Applicants must have completed the requirements for a PhD, including final submission of their dissertation, prior to joining Microsoft Research.  Applicants with tenure-track offers from other institutions will be considered, provided they are able to defer their start date to accept our position.

How to apply

To apply, submit an online application on the Microsoft Research Careers website.  To be assured of full consideration, all materials, including reference letters, need to be received by November 27, 2016.  Applications received after that date may or may not be considered. In completing your application, please be sure to follow these additional instructions:

  1. In addition to submitting your CV and the names of three referees (including your dissertation advisor) as required by the online application, please also upload the following three attachments:
    • two conference or journal articles, book chapters, or equivalent writing samples (uploaded as two separate attachments);
    • an academic research statement (approximately 3-4 pages) that outlines your research achievements and agenda.
  2. Indicate that your research area of interest is “Machine Learning, Adaptation, and Intelligence” and that your location preference is “New York.”  Include “Robert Schapire” as the name of a Microsoft Research contact (you may include additional contacts as well). Note: If you do not mark these preferences, it is very unlikely that we will receive your application.

After you submit your application, a request for letters will be sent to your list of referees on your behalf.  Note: The application system will not request reference letters until after you have submitted your application.  You may wish to alert your letter writers in advance so that they will be ready to submit your letter by our application deadline of November 27, 2016.  You can check the progress on individual reference requests by clicking the status tab within your application page.

People

Publications

Projects

Multiworld Testing

Established: November 1, 2013

Exponentially better than A/B testing. Multiworld Testing (MWT) is the capability to test and optimize over K policies (context-based decision rules) using an amount of data and computation that scales logarithmically in K, without…

Explore-Exploit Learning @MSR-NYC

Established: October 24, 2013

This is an umbrella project for machine learning with explore-exploit tradeoff: the trade-off between acquiring and using information. This is a mature, yet very active, research area studied in Machine Learning, Theoretical Computer Science, Operations Research, and Economics. Much of…