Microsoft Principal Applied Scientist 

United States, Washington 

205704671

Artificial Intelligence (AI) is experiencing a revolutionary transformation with the rise of Large Language Models (LLMs). We are looking for aPrincipal Applied Scientistwith extensive experience in LLMs to design and implement scalable systems leveraging these advanced models. As a Principal Applied Scientist, you will design and build systems that allow LLMs to reason overlarge amountsof data as well aslighter weight models for specific scenarios. We are looking for an individual who has experience working with research teams and partnering with them to deliver joint solutions. This can range from collaborating to build fine-tuned models to devising ways to construct custom LLMs for specific product needs.

We are excited to hear from candidates who are passionate about making a significant 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 oftechnology that is poised to revolutionize productivity and innovation.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

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.

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.
• 4+ years of experience with design, implementation, debugging and testing of complex distributed services.
• 3+ years of experience working on Machine Learning models specifically with Natural language-based models, vector databases and graph databases.

Other Requirements:

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.

Preferred Qualifications:

• Doctorate in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent.
• 9+ years of experience in Machine Learning.
• 5+ years using ML tools likePytorchand TensorFlow.
• Practical experience developing applications using prompt engineering, fine tuning, OpenAIor 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.

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:Microsoft will accept application for the role unil August 12, 2024.

• Conduct applied science experiments,createandvalidatemetrics, develop Machine Learning (ML) pipeline and modeling algorithmin the area ofLarge Language Models, Natural Language Processing, Information Retrieval, and Machine Learning.
• Develop and deploy conversational and language understanding models atscale.
• 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 ourand.