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 ML 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. This role will be for the DICE ML Engineering team in the Seattle office.

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

• Possesses a strong sense of curiosity and takes initiative, demonstrating resourcefulness in task completion.
• Proven ability to collaborate effectively within teams, partnering with managers, cross-functional teams, and teammates.
• Approaches problems with an analytical mindset to identify and implement solutions.
• Eager to acquire new skills and advance within the role.
• Thrives in a supportive environment that promotes individual growth and collective achievement of team objectives.
• Collaborates with peers, prioritizes features, and delivers customer value with a sense of urgency.
• Develops scalable, robust, and highly available micro services for statistical analysis and machine learning model deployment.
• Implements new features and optimizes existing ones to enhance customer satisfaction.

How You’ll Grow

• Build scalable, fast, robust, and simple SaaS solutions.
• Familiarity with containerization and full-stack development.
• Implement new functionality from requirements and specifications.
• Collaborate with engineers, tech-ops, and product managers.
• Work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models.
• Build and maintain highly scalable data pipelines for complex, multi-modal data.
• Learn Agile methodologies: attend daily stand-ups, prioritize tasks, and meet delivery schedules.
• Opportunity to mentor and lead teammates.

Things You’ll Do

• Focus on the development of SaaS Software and build, distribute, scale and operate these services.
• Develop scalable, fast, robust, and simple web-based solutions to solve complex business problems.
• Implement new features and optimize existing ones to drive maximum performance.
• Work closely with and incorporate feedback from other engineers, 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

What We’re Looking For On Your Resume

• Bachelor’s or Master’s degree in Computer Science or related field
• 3-5 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.
• Has developed scalable, fast, robust, and rich web-based solutions to solve complex business problems, using the latest technologies.
• Experience with applied machine learning models and large-scale ML systems
• Strong algorithms, data structures, and coding background.
• Experience with continuous delivery, git, test automation, and build/deploy systems.
• Experience building large-scale distributed data pipelines and/or 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.
• This team builds core machine learning infrastructure and services. We identify business needs and define strategies where Qualtrics can most benefit from AI technologies.
• We stay on top of the latest AI technologies and apply the state of the art to customer business problems.
• We conduct ML modeling with deep expertise and rigor, including model selection, training, fine-tuning, customization, explainability, and evaluation.

Our Team’s Favorite Perks and Benefits

• QMentorship Program matches you with a mentor inside Qualtrics to get meaningful coaching from someone outside your team.
• $1800 Experience bonus to be used for an “Experience” of your choosing
• Wellness Reimbursement for $300 per quarter for wellness activities including gym memberships, spa massages, workout equipment, meditation apps, and much more.

  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 Act   Qualtrics 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 within this range 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, paid time off, 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$138,500—$206,000 USD