Job Details

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 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 Success

• Work in a supportive environment enables individual growth and achievement of team goals
• Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers
• Develop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning models
• Implement new features and optimize existing ones to delight our customers

How You'll Grow

• Work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing business
• Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.

Things You'll Do

• Work closely with, and incorporate feedback from other specialists, 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
• Finding quick ways to prototype and test possible solutions to large problems

What We're Looking For On Your Resume

• Bachelor's degree in Computer Science or related fields.
• 2-5 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.
• Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance
• Experience with data preparation and manipulation for high quality model results
• Experience building and representing data models. Single and Multi fact
• Experience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented design
• Experience with applied machine learning models and large-scale ML systems

What You Should Know About This Team

The Insights Generation team strives to create the highest-quality and most accurate insights for Qualtrics customers. We leverage all methodologies and look to build/consume new data assets that will improve insight quality to a class-leading level. We also work heavily with text and omnichannel data to incorporate human feedback into our insights.

Our engineers collaborate closely with platform teams to ensure our products are tightly integrated and consistent with core platform behavior while having the flexibility to choose our architecture and the independence to quickly deliver on our business vision. The team's focus on class-leading insights and customer value offers a fantastic opportunity to drive your career development and build a strong foundational understanding across Qualtrics systems.

Our Team's Favorite Perks and Benefits

• $1800 Experience bonus to be used for an “Experience” of your choosing
• Unlimited Sick Days
• We spend 10% of our time on individual engineering growth activities every quarter
• Amazing 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.

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.