Applied Scientist

Microsoft

16h

About The Position

Come build the core of Microsoft Copilot for enterprise with the Microsoft Turing team, where you’ll join a collaborative group pushing the frontier of large language models (LLMs) to improve the productivity of hundreds of millions of users around the world.
Turing is responsible for the core systems that power Microsoft 365 Copilot Chat, delivering intelligence, quality, and transformative new features. We work at the intersection of research and engineering—advancing orchestrator reasoning, training next-generation models, and shipping impactful, model-driven experiences in Microsoft 365 Copilot.
The Responsible AI group focuses on identifying, measuring, mitigating, and monitoring Responsible AI risks in AI-generated content spanning text, image, audio, video, and multimodal content. We are looking for an Applied Scientist to join our team and contribute to the development of scalable AI artifacts for Responsible AI identification, measurement, and mitigation across Copilot scenarios.
We are looking to hire an Applied Scientist who specializes in linguistics and Responsible AI. In this role, you will work with an interdisciplinary group of engineers, applied scientists, linguists, and product managers to ensure that the innovative products and machine learning solutions Turing delivers to tens of millions of users every month are safe and reliable. You will help design and build the socio-technical foundations that enable Responsible AI at scale. This includes risk systematization, dataset creation, and metric design. Your work will have a direct impact on product quality, user trust, and the safety of AI systems used by millions of people 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.

Requirements

• Bachelor's Degree in Linguistics, 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 Linguistics, Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field 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 Haves

• Bachelor's Degree in Linguistics, Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Linguistics, Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
• 1+ years of experience putting linguistics and responsible AI principles into practice as part of a AI product team.

Responsibilities

• Integrate linguistic concepts into Responsible AI applied science efforts.
• Master a broad research area and understand relevant research techniques.
• Act as a team expert on industry trends, products, and advances, applying this knowledge to influence product needs.
• Review business and product requirements, incorporate research, and provide strategic direction for problem solving.
• You will also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.
• Develop scalable frameworks and resources to identify, measure, and mitigate AI risks.
• Build red-teaming playbooks and guidelines and datasets for risk evaluation that generalize across diverse systems, use cases, and deployment contexts.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level