Applied Scientist II

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.

We are more than a platform—we are the creators and stewards of the Experience Management 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.

We are looking for a talented and innovative Applied Scientist to bring our Machine Learning and Artificial Intelligence R&D and strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.

• Leverage your deep knowledge of artificial intelligence (AI) principles, including machine learning, natural language processing, computer vision, and reinforcement learning.
• Use your understanding of both supervised and unsupervised learning techniques, and their applications in building intelligent systems.
• Develop and optimize algorithms for building scalable and efficient GenAI applications.
• Tackle challenging problems in creative ways, leveraging generative models to address real-world use cases and drive innovation.
• Use effective communication skills to articulate technical concepts to non-technical stakeholders and gather requirements for GenAI application development.
• Show strong programming skills in languages like Python, along with proficiency in deep learning frameworks such as Tensor Flow, PyTorch, or similar.

• Passion for leveraging cutting-edge AI technology to create innovative GenAI applications that have a meaningful impact on businesses, industries, and society.
• Commitment to developing GenAI applications that adhere to ethical standards and promote positive societal impact while minimizing potential risks.
• Drive to push the boundaries of what's possible with AI, and to contribute to the advancement of the field through research, experimentation, and collaboration.
• Willingness to stay updated with the latest advancements in AI research and technology, and to continuously learn and adapt to new methodologies and best practices.
• Agility to pivot and iterate on GenAI applications based on feedback, emerging trends, and changing business requirements.

• Address challenges in products through Large Language Models, Deep Learning and Data Science approaches and publish research papers.
• Work as part of a multidisciplinary team to research, implement, evaluate, optimize, productize and maintain cutting‑edge machine learning models to meet the demands of our rapidly growing business.
• Stay on top of the latest developments in machine learning and related research, and present research findings with the broader community.
• Work closely with, and incorporate feedback from other specialists, engineers, and product managers.
• Lead and engage in design reviews, modeling discussions, requirement definitions and other technical activities in diverse capacity.
• Contribute to and inspire the Conversational AI, NLP, and Data Science technology roadmap at Qualtrics.

• Bachelors and Graduate Degrees in Computer Science or related fields.
• Solid understanding of machine learning fundamentals and tool ecosystem.
• 3+ years of combined academic and industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field.
• Deep learning implementation expertise (Tensor Flow, PyTorch, etc.).
• Excellent command of at least one modern programming language (preferably Python).
• Deep understanding of machine learning model life cycle management.
• Depth in one or more of the following:
  Natural Language processing, information retrieval, speech processing, deep learning, reinforcement learning, etc.
• Knowledge of or experience in building production quality and large‑scale deployment of applications related to machine learning.
• Comfortable working in a fast paced, highly…