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Microsoft Teams is the hub for teamwork that integrates all the people, content, and tools your team needs to be more engaged and effective. It is core to Microsoft’s modern work, modern life & modern education value prop. We are reinventing the way people communicate and work together across the globe. We own the infrastructure that enables complex orchestration of Copilot workflows to put powerful artificial intelligence (AI) capabilities at the user’s fingertips. AI is now going through a transformational change with the advent for Large Language models (LLMs). We are seeking a Senior Applied Scientist with experience in working with LLMs who has designed scalable systems using LLMs. As a Senior Applied Scientist, you will design and build systems that allow LLMs to reason over large amounts of data as well as leveraging lighter weight models in place for specific scenarios. We are looking for an individual who has the capability of working with research teams and partnering with them to deliver joint solutions. This can range from working together to build fine-tuned models to coming up with ways to build custom LLMs for specific product needs. We are excited to hear from candidates who are passionate about making an impact on how people interact with their computers and who are eager about the opportunity to be at the forefront of growing new business for Microsoft. This is a rare chance to be part of cutting-edge technology that is poised to revolutionize productivity and innovation. 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.
Job Responsibility:
Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products
Conduct science experiments, create and validate metrics, develop machine learning (ML) pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning
Develop and deploy conversational and language understanding models at scale
Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning
Collaborate closely with Microsoft Research, Microsoft AI groups, Microsoft Azure, AI platform teams, and product teams to create the next generation of AI innovation in our products and services
Embody our culture and values
Requirements:
Bachelor’s degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years technical engineering experience designing, building, running services at large scale and developing algorithms in languages including, but not limited to, C#, C++, Java, JavaScript, or Python
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years technical engineering experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) technical engineering experience
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Nice to have:
Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years technical engineering experience designing, building, running services at large scale and developing algorithms in languages including, but not limited to, C#, C++, Java, JavaScript, or Python
OR Master'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 equivalent experience
3+ years of experience in machine learning
2+ years of experience with design, implementation, debugging and testing of complex distributed services
2+ years of experience working on Machine Learning models specifically with Natural language-based models, vector databases and graph databases
3+ years using ML tools like Pytorch and TensorFlow
Practical experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs
System development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems