New 
Applied Scientist II
 Microsoft | |
 United States, Washington, Redmond | |
 Feb 05, 2025 | |
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OverviewJoin the Microsoft Shopping team! We deliver smart shopping experiences with personalization, savings, transparency, and convenience, ensuring confidence in every purchase. Microsoft Shopping is your personal shopping companion, empowering customers to shop smarter and discover what they love. By harnessing the power of AI (artifical intelligence), LLMs (large language models) and LLM-based Agents, we are building best-in-class shopping experiences across Bing, MSN, and Edge. If you are passionate about transforming the online shopping experience for millions of users, this role is for you. We are seeking an Applied Scientist II who is passionate about machine learning, data analysis, and ML (machine learning) modeling to join our team. Your expertise will drive innovation and ensure the team is aligned with the Microsoft Shopping vision. This position offers a unique blend of scientific research, innovation, and strategic influence, allowing you to make a significant impact on both the team and the overall shopping experience at Microsoft Shopping. 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.
ResponsibilitiesExpertise Development: Gain deep knowledge of our recommendation systems, platforms, and domains, staying updated with the latest industry trends and applied technologies in ML, AI and LLMs to Recommendations. Mentorship and Team Support: Reinforce a positive environment, support mentorship, and assist with onboarding of early in career team members.Documentation and Ethics: Document work in progress, share findings to promote innovation, present to stakeholders, and follow ethics and privacy policies during research processes. | |