Join to apply for the Machine Learning Engineer role at QualtricsJoin to apply for the Machine Learning Engineer role at QualtricsGet AI-powered advice on this job and more exclusive features.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 EngineerWhy We Have This RoleWe 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 SuccessWork in a supportive environment enables individual growth and achievement of team goalsCollaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customersDevelop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning modelsImplement new features and optimize existing ones to delight our customersHow You’ll GrowWork in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing businessBuild and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.Things You’ll DoWork closely with, and incorporate feedback from other specialists, tech-ops, and product managersLead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacityAttend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customersFinding quick ways to prototype and test possible solutions to large problemsWhat We’re Looking For On Your ResumeBachelor’s degree in Computer Science or related fields.Interest in modern machine learning / deep learning systemsStrong Computer Science fundamentals in algorithm design, complexity analysis, and performanceExperience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented designExperience with applied machine learning models and large-scale ML systemsWhat You Should Know About This TeamThe Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines.This team builds core machine learning infrastructure and services.We partner with application teams to deliver ML algorithms and models that drive efficiency, innovation, and growth.Our Team’s Favorite Perks And Benefits$1800 Experience bonus to be used for an “Experience” of your choosingUnlimited Sick DaysAmazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection ActQualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.For full-time positions, this pay range is for base per year; however, base pay offered may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer. Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, a wellness reimbursement, mental health benefits, and an experience bonus. For a detailed look at our benefits, visit Qualtrics US Benefits.Washington State Annual Pay Transparency Range$99,500—$187,000 USDSeniority levelSeniority levelEntry levelEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesSoftware DevelopmentReferrals increase your chances of interviewing at Qualtrics by 2xGet notified about new Machine Learning Engineer jobs in Seattle, WA.Seattle, WA $99,000.00-$124,200.00 3 days agoSeattle, WA $99,500.00-$200,000.00 1 day agoRedmond, WA $84,200.00-$180,400.00 6 days agoSeattle, WA $99,500.00-$200,000.00 1 day agoCalifornia, United States $100,000.00-$720,000.00 4 days agoSeattle, WA $150,500.00-$269,200.00 1 day agoFront End Software Engineering II, SlackSeattle, WA $157,600.00-$236,500.00 2 days agoSeattle, WA $117,760.00-$147,200.00 1 week agoSeattle, WA $140,000.00-$180,000.00 1 month agoSeattle, WA $110,400.00-$138,000.00 2 days agoSeattle, WA $90,000.00-$170,000.00 2 days agoSoftware Engineer, Research Infrastructure (University Grad)Seattle, WA $140,000.00-$180,000.00 1 month agoBellevue, WA $157,000.00-$230,000.00 1 week agoSeattle, WA $99,500.00-$200,000.00 2 weeks agoSoftware Development Engineer - 2025 (US)Seattle, WA $99,500.00-$200,000.00 1 week agoRedmond, WA $99,500.00-$200,000.00 3 days agoBellevue, WA $157,000.00-$230,000.00 1 week agoSeattle, WA $150,000.00-$158,000.00 6 hours agoSeattle, WA $150,500.00-$269,200.00 2 weeks agoSeattle, WA $90,000.00-$180,000.00 1 week agoSeattle, WA $98,900.00-$228,700.00 1 week agoSeattle, WA $150,000.00-$175,000.00 2 months agoBellevue, WA $157,000.00-$230,000.00 20 hours agoSeattle, WA $91,158.00-$139,222.66 1 week agoSeattle, WA $140,000.00-$180,000.00 1 month agoWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr