Microsoft

GXP (Global Experience Platform) is at the heart of Microsoft’s transformation to an AI-Native company, creating products where intelligence is foundational, not added on. As an Applied Scientist, you will work at the intersection of research and product, leveraging cutting-edge AI to deliver transformative experiences for millions of users. You will play a critical role in the areas of Large Language Model (LLM), Prompt Engineering, Context Engineering, Metrics and Evaluation, responsible for developing an end-to-end infrastructure and measurement framework, fostering cross-functional collaboration, and leveraging data science and AI expertise to guide decision-making. We seek candidates passionate about large language models (LLMs), AI-powered applications, and data-driven 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.

• Build benchmarks, evaluation datasets, metrics, and methods to assess and improve the performance and effectiveness of language models and prompts and drive iterative enhancements.
• Deliver high-impact analyses that generate actionable insights to steer product and business decisions and improve user satisfaction.
• Collaborate closely with engineering, research, product, and other teams to ensure AI-driven experiences meet quality and user experience standards.
• Analyze latest AI innovations and explore opportunities to apply cutting-edge techniques for building scalable, high-impact solutions that enhance product capabilities and deliver exceptional user experiences.

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.
• Hands-on experience with Large Language (LLMs), including evaluation techniques, prompt engineering, model fine-tuning.
• 1+ years of experience in applied science or machine learning, natural language processing (NLP), or AI systems.
• Proficiency in Python, C#, or similar languages.

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:

• Exceptional analytical and problem-solving skills with a track record of tacking complex challenges.
• Strong communication and presentation abilities, capable of conveying technical concepts to diverse audiences.
• Proven experience across the product lifecycle from ideation to shipping.
• Publications in leading AI/ML conferences (e.g., NeurIPS, ICML, ACL), demonstrating thought leadership and technical depth.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.