Senior Principal Applied Scientist

At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management (XM) category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all, it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.

Senior Principal Applied Scientist

 

Why We Have This Role

Qualtrics is on a mission to enhance its leadership in Experience Management (XM) by driving Machine Learning and Artificial Intelligence initiatives. This role supports our commitment to innovation in an evolving landscape of Generative and Agentic AI, enabling us to redefine the boundaries of XM.

 

How You’ll Find Success

• Leverage Expertise: Utilize your deep knowledge of machine learning algorithms, frameworks, and best practices to drive innovative solutions that meet business challenges.

• Foster Collaboration: Cultivate strong relationships across diverse teams, encouraging open communication and collaboration to amplify the impact of your work and enhance project outcomes.

• Stay Informed: Continuously update your knowledge of the latest advancements in AI and machine learning, ensuring that your approaches are aligned with industry trends and technologies.

• Adapt to Change: Embrace the dynamic nature of the tech landscape by being flexible and agile, proactively addressing challenges and iterating on solutions in response to shifting business needs.

• Communicate Effectively: Clearly articulate complex technical concepts to stakeholders at all levels, ensuring alignment on project goals and facilitating informed decision-making.

 

How You'll Grow 

• Expand Technical Skills: Continuously deepen your expertise in cutting-edge AI and machine learning technologies through ongoing training, workshops, and hands-on experience with new tools and methodologies.

• Engage in Cross-Functional Projects: Take advantage of opportunities to work on diverse, multidisciplinary projects that expose you to different aspects of the business, broadening your understanding of how AI can drive value across various domains.

• Participate in Thought Leadership: Contribute to industry discussions by publishing research, presenting at conferences, or participating in forums, enhancing your professional reputation and establishing yourself as a leader in the AI community.

• Seek Feedback and Reflect: Actively seek constructive feedback from peers and leaders to identify strengths and areas for improvement, fostering a habit of self-reflection that promotes continuous personal and professional development.

 

Things You’ll Do

• Lead Technical Vision: Spearhead AI initiatives by building large-scale training datasets and designing generative models and agentic platforms.

• Collaborate with Multidisciplinary Teams: Engage with researchers, engineers, and product managers to implement, evaluate, optimize, and maintain cutting-edge machine learning models.

• Strategic Liaison: Act as a technical liaison between the AI team and executive leadership, participating in strategic discussions and technical reviews.

• Research Contributions: Stay updated on the latest machine learning developments and present findings to the broader community

• Daily Agile Operations: Attend stand-up meetings, prioritize features, collaborate with peers, and deliver immediate value to our customers.

 

What We Are Looking For on Your Resume

• 10+ years of industry and research experience in machine learning.
• Bachelors and Graduate Degree in Computer Science or related fields
• Proven ability to build and deploy large-scale