Staff Machine Learning Engineer

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. • Take on mentorship roles and collaborative projects to refine your leadership skills and guide junior team members. • Gain insights into different areas of the business by collaborating with various teams, enriching your understanding of how technology impacts overall company strategy. Things You’ll Do • Design and develop robust AI architectures, frameworks, and algorithms that can support large-scale and complex enterprise SaaS AI solutions in alignment with business objectives. • Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability. • Collaborate across the company to guide the direction of machine learning at Qualtrics, spanning teams from research to production. • Communicate with a team of research scientists, product managers, and engineers and lead and document AI architectures, design decisions, and technical specifications for reference and knowledge sharing. • Work closely with research scientists and model engineering teams on developing, and deploying, ML systems in production. Develop a strategy for optimizing models and systems for performance, scalability, efficiency, and cost. • Offer technical supervision and direction to the ML platform teams and lead the creation of future ML platform for deploying and mo