About the role
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.
Staff Machine Learning Engineer, Foundation - Seattle
Why We Have This Role
We are looking for an experienced Machine Learning 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. We aim to enhance our capabilities in developing and maintaining high-performance systems that can effectively handle large volumes of data and complex algorithms. This role will be pivotal in driving innovation and ensuring our machine learning initiatives support our mission of closing experience gaps across various domains.
How You’ll Find Success
- Working in a supportive environment enables individual growth and the achievement of team goals.
- Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers.
- It will be crucial to stay on top of technology trends and educate leadership and stakeholders on trends, and North Star initiatives.
- Analyze and enhance ML systems for better performance and efficiency.
- Develop creative solutions to improve our ML infrastructure and scalability
How You'll Grow
- Expand your expertise in machine learning and software engineering by working on cutting-edge technologies and large-scale systems.