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Do you have a passion for delivering innovative solutions to millions of users worldwide? Do you thrive in a fast-paced, diverse and high-aspiration Natural Language Processing (NLP) team?
The Microsoft Word Writing Intelligence team is looking for talented and highly motivated applied scientists with expertise in building large-scale natural language understanding and natural language generation models using cutting-edge Deep Learning technologies, Large Language Models, and advanced linguistic knowledge. The team has a 25-year track record of creating AI-powered writing assistance features, with a recent launch of groundbreaking Copilot features to enhance productivity and creativity in writing.
If you are excited about using cutting-edge NLP technology to positively impact hundreds of millions of people, this is the job for you!
Qualifications
Basic Requirements:
* Master’s degree in Computer Science, Mathematics, Statistics, or related field.
* 3+ years of research or product experience in NLP.
* 3+ years of hands-on experience in Deep Learning using PyTorch, TensorFlow, or similar.
* 3+ years of software engineering experience in Python or C#.
* Effective communication, collaboration, problem-solving skills, and a customer-centric mindset.
Preferred Qualifications:
* PhD in Computational Linguistics or Computer Science with a focus on NLP.
* Familiarity with recent NLP & ML advancements and a passion for discovering next-generation technology.
* Experience conducting applied research and publishing papers.
* Experience working in collaborative, multi-team environments and shipping production features in fast-paced settings.
Responsibilities
The mission of our team is to advance intelligent reading and writing assistance in M365 and contribute to the state-of-the-art in language technology within Microsoft and industry.
As an experienced applied scientist, your responsibilities include:
* Collaborate with researchers, applied scientists, engineers, product managers, and designers to design and build state-of-the-art deep learning NLP solutions for M365.
* Perform rigorous experiments and evaluations to assess quality and impact, improving solutions based on data and feedback.
* Lead AI projects through their entire lifecycle, from conception to worldwide deployment.
* Stay updated with the latest research and trends in NLP and explore innovative ideas and opportunities.
Benefits and perks vary depending on employment type and location, including healthcare, educational resources, discounts, savings, parental leave, generous time off, giving programs, and networking opportunities.
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