We are seeking a Senior Applied Scientist to join a foundational team to steer the trajectory of machine learning research, with an eye toward enterprise and institutional applications. This role is a unique intersection of scientific research and business transformation strategy, focusing on the crucial research questions that arise from real integration of Artificial Intelligence (AI) technologies into global organizations at the largest scale. As part of our team, you will have the chance to travel to meet partner researchers and work hand-in-hand with Subject Matter Experts, Scientists, and Senior Managers. Your science, engineering and business acumen will establish how AI is used in the world’s largest and most complex organizations. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. **Responsibilities** + Identify open and interesting questions, conduct independent research, and collaborate with colleagues and researchers across Microsoft Research. + Take ownership of research projects, from prototype to publication. + Communicate effectively with product leaders and researchers. + Collaborate to propose, develop, and execute novel research programs. + Focus on community-leadership, publication, and open-source frameworks. + Think not just about single benchmarks, models, and scripts, but about larger classes of problems, systems of experimentation, and testable hypotheses to gain understanding. + Embody our culture (https://careers.microsoft.com/v2/global/en/culture) and values (https://www.microsoft.com/en-us/about/corporate-values) . **Qualifications** Required Qualifications: + Doctorate in a relevant field + OR equivalent experience. + Demonstrated research or applied science experience in Natural Language Processing, Computer Vision, Multimodal analysis, Deep Learning, Machine Learning, or a related field. Preferred Qualifications: + 3+ years industry, intern and/or Post Doc experience. + Algorithmic problem solving, system design, and software development skills. + Familiarity with open-source tools such as PyTorch, as well as experience with statistical analysis and data visualization tools. + Demonstrated publication record in top-tier, peer-reviewed conferences such as NeurIPS, ICML, ICLR, ACL, CVPR, AAAI, or in scientific journals. Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. 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 $153,600 - $250,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications for the role until November 15, 2024 \#Research Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .