At the Bing Multimedia Team, part of Microsoft's Artificial Intelligence division, we are dedicated to delivering the most engaging and personalized media search and recommendation experience. You will be at the forefront of innovation, working with a dynamic team that values creativity, collaboration, and excellence. As a **Principal Applied Scientist** in the Bing Multimedia Team, you will develop and implement advanced machine learning models to improve our recommendation systems and visual search capabilities. You will collaborate with cross-functional teams to design and deploy scalable solutions that enhance user engagement and satisfaction. This opportunity will allow you to accelerate your career growth, develop deep technical expertise, and contribute to impactful projects that reach millions of users. 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. **Responsibilities** + You will own development of state-of-the-art machine learning, deep learning algorithms and techniques leveraging text and images for analyzing and transforming content to build world-class search and recommendation products that have the potential to transform billions of people’s lives. + As a member of our team, you will design, develop, evaluate, and deploy machine learning models, as well as corresponding metrics and measurements, online and offline pipelines, and integrate into production runtimes. + You will collaborate with partners within the team or distributed globally. + You will leverage state-of-the-art models and strategies to improve our metric-driven targets. **Qualifications** **Required Qualifications** + Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) + OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) + OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) + OR equivalent experience. **Preferred Qualifications** + Previous experience in search and recommendations analytics or related fields. + Knowledge of natural language processing (NLP) and LLMs. + Published research or contributions to the data science community. Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 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 $180,400 - $294,000 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 February 18, 2025 \#multimodal #multimedia #bing #visualsearch #recommedations #LLM #MicrosoftAI 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) .