Principal Researcher - Machine Learning & Statistics - Microsoft Research

Doctorate in Computer Science, Machine Learning, Mathematics, Statistics or relevant field AND 3+ years related research experience OR Master's Degree in Computer Science, Machine Learning, Mathematics, Statistics or relevant field AND 4+ years related research experience OR Bachelor's Degree in Computer Science, Machine Learning, Mathematics, Statistics or relevant field AND 6+ years related research experience OR equivalent experience. To ensure we receive a complete application from you, please be sure to follow these instructions: Upload your Resume/CV. Upload (as separate attachments to your application) 1 or 2 conference or journal articles, book chapters, link to blog posts, technical reports or equivalent (potentially unpublished) writing samples that you are most proud of. Upload a short cover letter (no more than 2 pages) outlining technical achievements so far that you are most proud of and what you aim to continue doing moving forward. Feel free to also add extra research activities such as volunteering, civic engagement, community organizing that you might have been part of. Add contact information for 2/3 reference letter writers (in nearly all cases, one will be from your dissertation advisor). After you submit your application, the system will send a request for letters to your list of references on your behalf. Note: The application system will not request reference letters until after you have submitted your application. You can upload documents by going to your profile on the career site and clicking on the Resume Manager tab in the top right of the page, and from there selecting Other Documents. If you are having trouble submitting your application, please go to the bottom of the page and click "Support" and fill out the requested information. Demonstrated record of sustained, original research impact, evidenced by influential peer-reviewed publications, widely used research artifacts, or comparable contributions, together with experience shaping research directions and leading collaborative research efforts. Experience in running large scale experiments with transformers/LLMs pre-training and/or finetuning Experience in creating, optimizing and running large scale machine learning pipelines Experience in building data collection and curation pipelines. Ability to collaborate, communicate effectively, and work as part of a multi-disciplinary team.