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 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. Machine Learning Engineer II Why We Have This Role We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R D 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. You should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!

How You’ll Find Success Work in a supportive environment enables individual growth and achievement of team goals Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers Develop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning models Implement new features and optimize existing ones to delight our customers Balance technical excellence with pragmatic decision-making to solve complex algorithmic challenges efficiently How You’ll Grow Work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing business Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data. Things You’ll Do Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers Finding quick ways to prototype and test possible solutions to large problems Stay up-to-date with industry trends and academic research to evaluate new tools, frameworks, and modeling techniques.

What We’Re Looking For

On Your Resume Bachelor’s degree in Computer Science or related fields. 2-5 years of experience as a Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and optimizing machine learning models for real-world applications, leveraging frameworks such as TensorFlow or PyTorch. Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance Experience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented design Experience with applied machine learning models and large-scale ML systems What You Should Know About This Team The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines.