Machine Learning Engineer II - Data and Insights Join to apply for the Machine Learning Engineer II - Data and Insights role at Qualtrics . At Qualtrics, we create software used by the world’s best brands to deliver exceptional 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. When you join our teams, you’ll be part of a nimble group empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged, and complex problems are solved collaboratively, iterating until the best solution emerges. Growth opportunities are abundant, and our mission is to bring humanity, connection, and empathy back to business. Join over 5,000 people worldwide who believe this work is meaningful. Why We Have This Role We seek an engineer to elevate our Machine Learning and AI R&D strategy, aiming to personalize the Qualtrics experience with ML and AI features, showcasing data as a core value and competitive edge. You should enjoy building simple solutions to complex customer problems, crafting systems in an agile environment capable of supporting hyper-growth, and owning quality end-to-end. This is a rewarding challenge at Qualtrics! How You’ll Find Success Work in a supportive environment that fosters individual growth and achievement of team goals Collaborate with peers, prioritize features, and work with urgency to deliver value to customers Develop scalable, robust microservices for statistical analysis and ML model deployment Implement new features and optimize existing ones to enhance customer experience How You’ll Grow Implement, tune, and productize cutting-edge ML models in a rapidly expanding business Build and maintain scalable data pipelines for cleansing, anonymizing, measuring, and indexing complex data Key Responsibilities Collaborate with specialists, tech-ops, and product managers to incorporate feedback Lead design reviews, architectural discussions, and technical activities Participate in daily stand-ups, prioritize features, and deliver value efficiently Prototype and test solutions for large-scale problems swiftly Qualifications Bachelor’s degree in Computer Science or related field 2-5 years of experience in ML engineering, with a strong track record in designing and deploying models using frameworks like TensorFlow or PyTorch Solid fundamentals in algorithms, complexity analysis, and performance optimization Experience with data preparation and manipulation for high-quality models Proficiency in programming languages such as Python, Java, or C# with object-oriented design skills Experience with large-scale ML systems and data modeling Team and Benefits The Insights Generation team focuses on delivering high-quality, accurate insights, leveraging diverse methodologies and data assets, including text and omnichannel data, to enhance insight quality. Perks include: $1800 Experience bonus Unlimited Sick Days 10% of time dedicated to individual engineering growth quarterly Active communities like MOSAIQ, Green Team, and Women’s Leadership Development Work Model and Additional Info Our hybrid work model involves in-office days on Mondays, Thursdays, and one additional day, with flexible remote work the rest of the week. Qualtrics is an equal opportunity employer, committed to inclusion and providing reasonable accommodations for individuals with disabilities. We encourage applicants from diverse backgrounds to apply.

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