Machine Learning Engineer

At Qualtrics, we create software that the world's leading brands use to deliver outstanding frontline experiences, build highly efficient teams, and design products people love. But we are more than just a platform - we are creators and custodians of the Experience Management category, serving over 18,000 clients internationally. Building a category requires grit, determination, and a disregard for convention. But above all, it requires tightly-knit, high-functioning teams with an unwavering commitment to serving our customers. When you join one of our teams, you will be a part of a dynamic group that's empowered to set ambitious goals and works fast to achieve them. Strategic risks are encouraged and intricate problems are solved together via collaboration until the optimum solution emerges. You won't spend your time seeking growth opportunities; ready or not, they'll find you. We're on a mission to reintroduce humanity, connection, and empathy to the world of business. Join over 6,000 people worldwide who believe that's a mission worth pursuing. Machine Learning Engineer Why We Have This Role We are seeking engineers to take our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our aim is to personalize the Qualtrics experience by employing ML and AI features that showcase Qualtrics data as a key value proposition and competitive advantage. As a Machine Learning Engineer at Qualtrics, you should enjoy building simple solutions to address complex customer problems. Creating systems within an agile environment to survive hyper-growth and assume end-to-end quality is a rewarding challenge, and one of the reasons why Qualtrics is such an exciting place to work! Things You'll Do - Develop robust, quick, and best-in-class solutions to resolve complex business problems. - Work in close coordination with, and incorporate feedback from other specialists, tech-ops, and product managers. - Participate and contribute to design reviews, architectural discussions, requirement definitions, and other technical activities in various capacities. - Attend daily stand-up meetings, collaborate with colleagues, prioritize features, and work urgently to deliver value to customers. - Find speedy ways to prototype and test potential solutions to large problems. How You'll Grow - Work within a multi-disciplinary team to implement, optimize, and commercialize leading-edge machine learning models to satisfy the demands of our rapidly growing business. - Construct and maintain highly scalable data pipelines to clean, anonymize, measure, and index intricate and multi-modal data. What We're Looking for on Your Resume - Bachelor's degree in Computer Science or related fields. - Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance. - Over 5 years of programming experience with at least one modern programming language such as Java, C# or Python, including object-oriented design. - More than 5 years of experience contributing to the architecture and design (architecture, design patterns, reliability, and scaling) of new and ongoing systems. - Experience in technical communications with both technical and non-technical colleagues. - Profound understanding of machine learning model life cycle management. - The ability to define system architecture and evaluate the feasibility of various designs. - Experience in developing cloud-based software services and an understanding of design for scalability, performance, and reliability. What You Should Know About This Team The Data Intelligence Center of Excellence (DICE) provides AI/ML research and development services for all product lines. This team constructs core machine learning infrastructure and services. Our Team's Favorite Perks and Benefits - $1800 Experience bonus to be used for an “Experience” of your choosing. - Unlimited Sick Days. - Fantastic QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women's Leadership Development, which serve as spaces for support, allyship, and advocacy. Qualtrics is an equal opportunity employer which means that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected status. Applicants in the US have rights under Federal Employment Laws: Family & Medical Leave Act, Equal Opportunity Employment, Employee Polygraph Protection Act. Qualtrics is committed to including all qualified individuals. As part of this commitment, Qualtrics will make sure that persons with disabilities are given reasonable accommodations. If you need a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, or to receive other benefits and privileges of employment, please inform your Qualtrics contact/recruiter. Qualtrics Work Experience - As we look towards the future, we believe that our teams work better together. Being together will help us learn more, develop faster and ultimately provide better results for our clients and Qualtrics. Roles associated with an office location work 4 days per week in the office and 1 day from home, with a strong emphasis on flexibility to accommodate personal, health, and family needs during our work weeks. Our managers collaborate with their teams to create a collaborative, engaging work environment and schedule that works for each team member. Not finding a role that suits you for now? Qualtrics Insiders is your one-stop shop for everything Qualtrics Life. Register for exclusive access to content created specifically for you and get the inside scoop on what's happening at Qualtrics - upcoming events, behind-the-scenes stories from the team, interview tips, top jobs, and more. No spam - we promise! You'll hear from us a maximum of twice a month with fresh, completely tailored information - so stay connected as you explore your best role and company fit. For full-time positions, this pay range is for base salary per year; however, the base pay offered may vary based on location, job-related knowledge, education, skills, and experience. For part-time or intern positions, this pay range is for base pay per hour. An employment offer may include a sign-on bonus and restricted stock units, in addition to a range of medical, financial, and other benefits, depending on eligibility criteria.