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.
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
- Balance technical excellence with pragmatic decision-making to solve complex algorithmic challenges efficiently
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
- Stay up-to-date with industry trends and academic research to evaluate new tools, frameworks, and modeling techniques.
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 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 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.
- Through close collaboration with product and engineering teams, we seamlessly integrate advanced intelligence into everyday user experiences.
Our Team’s Favorite Perks and Benefits
- $1800 Experience bonus to be used for an “Experience” of your choosing
- Unlimited Sick Days
- 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.
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.
Skills Required
- Bachelor's degree in Computer Science or related field
- 2-5 years of experience as a Machine Learning Engineer, designing, implementing, and optimizing ML models
- Experience with ML frameworks such as TensorFlow or PyTorch
- Strong computer science fundamentals in algorithm design, complexity analysis, and performance
- Programming experience with at least one modern language such as Java, C# or Python, including object-oriented design
- Experience with applied machine learning models and large-scale ML systems
What the Team is Saying
Qualtrics Compensation & Benefits Highlights
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Affordable Benefits — Medical coverage features a high employer-paid cost share across PPO and high‑deductible options. Dental, vision, telemedicine, and chronic‑condition support are included alongside core plans.
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Wellbeing & Lifestyle Benefits — An annual Experience Bonus and a quarterly wellness reimbursement add meaningful cash‑equivalent value for travel, events, and health activities. Mental‑health access spanning coaching, therapy/EAP, and mindfulness resources is emphasized.
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Inclusive Benefits Coverage — Family‑building and LGBTQIA+‑focused care include fertility treatment with dedicated cycles, adoption/surrogacy reimbursement, and gender‑affirming services. Travel and lodging support is available when covered care is not accessible locally, and domestic partners are eligible.
Qualtrics Insights
What We Do
Qualtrics is trusted by thousands of the world’s best organizations to power exceptional customer and employee experiences that build deep human connections, increase customer loyalty, boost employee engagement, and drive business success. Our advanced AI and specialized Experience Agents™ allow businesses and governments to proactively interact with customers and employees in personalized ways across every channel and touchpoint, respond in-the-moment to fix or improve experiences, and stay across the latest market trends and opportunities. Our vision, as an organization, is to improve the human experience.
Why Work With Us
We're a place where strategic risks are encouraged & complex problems get solved together. Where nimble teams are empowered to set aggressive goals & move fast to win. A place that makes you feel safe as your authentic self. Where everyday work results in growth. And, most importantly, where what you do matters. That's why we work at Qualtrics.
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Qualtrics Teams
Qualtrics Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
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.
