Overview The Microsoft Word Writing Assistance and Language Intelligence team, located in Redmond, Washington, builds large-scale natural language understanding and natural language generation models using cutting-edge Natural Language Processing technologies and advanced linguistic knowledge. The team has a 25-year track record of delivering innovative AI-powered writing assistance solutions to millions of users worldwide, with a vision of bringing out the best writer in everyone. Recently, the team launched groundbreaking Copilot features that help users dramatically enhance productivity and creativity throughout their writing journey. As a Senior Applied Scientist in the team, you will drive intelligence experience projects through their entire lifecycle—from idea creation, rigorous science experiments, evaluations, to worldwide deployment. You will collaborate with applied scientists, researchers, engineers, and product managers to deliver high-quality features and products that improve the writing experience across multiple platforms and domains. Additionally, you will conduct cutting-edge research leading to high product impact and publish your work in top-tier conferences and journals. This role offers opportunities for career growth, deepening business acumen, and honing scientific skills. Flexibility to work from home partially or fully is available, depending on your preference and location. Microsoft values work-life balance and supports personal and professional development. Responsibilities Review business and product requirements, incorporating state-of-the-art research to meet business goals. Research and understand tools, technologies, and methods used in the community to improve product quality, performance, or efficiency. Stay updated with the latest research and trends in NLP and related fields, exploring new ideas and opportunities for innovation. Participate in onboarding new team members and identify research talent to join Microsoft, collaborating with the academic community to develop the recruiting pipeline. Document ongoing work and experimentation results, sharing findings to promote innovation. Apply your understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection. Helping all candidates find great careers is our goal. The information you provide here is secure and confidential. We encourage you to apply directly for this job at the employer’s website. #J-18808-Ljbffr MedStar Health
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