Principal Applied Scientist

Overview

Frontier Tuning is pioneering a new product designed to fine-tune large language models (LLMs) using tenant data, thereby enabling the creation of task-specific agents and solutions. Our dynamic and agile team is at the forefront of advancing model capabilities within M365 Copilot. We invite you to join us in transforming the LLM experience for enterprises.

We are on the lookout for a Principal Applied Scientist who possesses both research and development expertise and a passion for creating cutting-edge AI products that push technological boundaries. Ideal candidates will have experience in designing, building, and deploying AI products, a robust understanding of the latest cloud and machine learning technologies, and a commitment to leveraging customer data to derive broader insights.

Our environment fosters innovation, supporting dedicated researchers and engineers dedicated to technology advancement. We value candidates who excel in deep analytical thinking, advanced development skills, and can navigate fast-paced entrepreneurial settings collaboratively.

At Microsoft, our mission is to empower every individual and organization on the planet to achieve more. We cultivate a growth mindset and collaborate to fulfill our shared objectives, grounded in our values of respect, integrity, and accountability. Our inclusive culture enables everyone to thrive both at work and beyond.

Responsibilities

• Design, build, test, and deploy cloud-based AI applications.
• Build and deploy LLM-based agentic systems.
• Engage with customers to comprehend and alleviate their pain points.
• Document experimental findings and communicate results across the team.
• Mentor early career team members.

Qualifications

Minimum Qualifications:

Applicants should possess one of the following:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research).
• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field AND 4+ years of relevant experience (e.g., statistics, predictive analytics, research).
• Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field AND 3+ years of relevant experience (e.g., statistics, predictive analytics, research).
• Equivalent experience will also be considered.

Preferred Qualifications:

Preferred qualifications include one of the following:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field AND 9+ years of relevant experience.
• Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field AND 6+ years of relevant experience.
• 5+ years of experience in creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• 2+ years of experience as an invited speaker at conferences or industry events.
• 5+ years of experience conducting research in academic or industry settings.
• 3+ years of experience in developing and deploying live production systems within a product team.
• 3+ years of experience in bringing products or systems from ideation to market across various stages of the product lifecycle.

Microsoft promotes an equal opportunity environment, ensuring all qualified individuals are considered without regard to various protected characteristics. We welcome diverse perspectives and strive to maintain an inclusive atmosphere. Should any assistance be required for religious accommodations or reasonable adjustments due to disability, information is available regarding the process.