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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 5000 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 experience as a Machine Learning Engineer including designing implementing and optimizing ML models using TensorFlow or PyTorch.
- Strong computer science fundamentals in algorithm design complexity analysis and performance.
- Experience programming 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
- Healthcare Strength—Medical dental and vision plans are offered with the company paying about 85% of premiums plus telemedicine and chronic‑condition programs. Mental‑health coaching and therapy resources are provided at no cost.
- Parental & Family Support—Family‑forming benefits include fertility coverage via Progyny adoption and surrogacy reimbursement up to $10000 and transgender‑inclusive care. Travel and lodging reimbursement is available when covered care requires long‑distance access.
- Retirement Support—A 401(k) with immediate vesting in a 5% employer match is available alongside HSA contributions and FSA options. Life and disability coverage further support long‑term financial security.
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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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.
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