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Machine Learning Engineer I - Data & Insights

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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 I

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
Collaborate cross-functionally with product managers, data scientists, and other engineering teams to define, develop, and deploy new machine learning models that translate complex data into actionable insights for 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.
0-2 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 Mutli 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.

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 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, in addition to a range of medical, financial, and other benefits, based on eligibility criteria.

Washington State Annual Pay Transparency Range

$105,500—$199,500 USD

Average salary estimate

$152500 / YEARLY (est.)

min

max

$105500K

$199500K

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What You Should Know About Machine Learning Engineer I - Data & Insights, Qualtrics

Join Qualtrics as a Machine Learning Engineer I in Seattle, Washington, where you'll be at the forefront of transforming the experience management landscape. At Qualtrics, we empower the world’s top brands to create exceptional customer experiences through advanced data insights. In this role, you’ll contribute to our mission by delving into the realms of machine learning and artificial intelligence, developing scalable solutions that directly enhance our offerings. We value creativity and quick thinking; thus, you’ll find yourself in a supportive environment where your ideas can thrive. You will collaborate closely with diverse teams—product managers, data scientists, and other engineers—to design and build robust machine learning models that translate complex data into meaningful insights. Not only will you implement and tune cutting-edge algorithms, but you'll also engage in hands-on problem solving, attending daily stand-ups that foster teamwork and urgency in delivering customer value. If you’re passionate about crafting solutions that delight users and are eager to grow alongside a dynamic team, Qualtrics is the place to be. Prepare for an exciting journey where your contributions will significantly impact our clients' success while having ample opportunities for your own professional development.

Frequently Asked Questions (FAQs) for Machine Learning Engineer I - Data & Insights Role at Qualtrics

What are the responsibilities of a Machine Learning Engineer I at Qualtrics?

As a Machine Learning Engineer I at Qualtrics, you will be responsible for developing scalable micro services for statistical analyses and deploying machine learning models. You'll collaborate with cross-functional teams to define and roll out new features that derive insights from complex datasets, ensuring that our customers enjoy a seamless experience.