Qualtrics

<div>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. <br /><br />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.</div>
<div> </div>
<div><strong>Machine Learning Engineer II</strong></div>
<p><strong>Why We Have This Role</strong></p>
<div>
<p>We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&amp;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!</p>
</div>
<p><strong>How You’ll Find Success</strong></p>
<ul>
<li>Work in a supportive environment enables individual growth and achievement of team goals</li>
<li>Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers</li>
<li>Develop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning models</li>
<li>Implement new features and optimize existing ones to delight our customers</li>
<li>Balance technical excellence with pragmatic decision-making to solve complex algorithmic challenges efficiently</li>
</ul>
<p><strong>How You’ll Grow</strong></p>
<ul>
<li>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</li>
<li>Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.</li>
</ul>
<p><strong>Things You’ll Do</strong></p>
<ul>
<li>Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers</li>
<li>Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity</li>
<li>Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers</li>
<li>Finding quick ways to prototype and test possible solutions to large problems</li>
<li>Stay up-to-date with industry trends and academic research to evaluate new tools, frameworks, and modeling techniques.</li>
</ul>
<p><strong>What We’re Looking For On Your Resume</strong></p>
<ul>
<li>Bachelor’s degree in Computer Science or related fields.</li>
<li>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.</li>
<li>Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance</li>
<li>Experience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented design</li>
<li>Experience with applied machine learning models and large-scale ML systems</li>
</ul>
<p><strong>What You Should Know About This Team</strong></p>
<div>
<ul>
<li>The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines. </li>
<li>This team builds core machine learning infrastructure and services.</li>
<li>Through close collaboration with product and engineering teams, we seamlessly integrate advanced intelligence into everyday user experiences.</li>
</ul>
</div>
<p><strong>Our Team’s Favorite Perks and Benefits</strong></p>
<ul>
<li>$1800 Experience bonus to be used for an “Experience” of your choosing</li>
<li>Unlimited Sick Days</li>
<li>Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&amp;Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.</li>
</ul>
<div><strong>The Qualtrics Hybrid Work Model</strong>: 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. #hybrid</div>
<div> </div>
<div><em>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.</em></div>
<div> </div>
<div><em>​​​​​​​Applicants in the United States of America have rights under Federal Employment Laws:<a href="https://www.dol.gov/agencies/whd/posters/fmla" rel="noopener noreferrer ugc" target="_blank">Family &amp; Medical Leave Act</a>, <a href="https://www.eeoc.gov/poster" rel="noopener noreferrer ugc" target="_blank">Equal Opportunity Employment</a>, <a href="https://www.dol.gov/agencies/whd/posters/employee-polygraph-protection-act" rel="noopener noreferrer ugc" target="_blank">Employee Polygraph Protection Act</a></em></div>
<div> </div>
<div><em>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.</em></div>
<div> </div>
<div><em>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.</em></div>
<div> </div>
<div><em><strong><code>#AI</code></strong></em></div><div><div><div><p><em>For full-time positions</em>, 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 <a href="https://www.qualtrics.com/careers/us/en/us-benefits" target="_blank" rel="noopener noreferrer ugc">Qualtrics US Benefits</a>.</p></div><div>Washington State Base Annual Pay Transparency Range</div><div><span>$167,500</span><span>—</span><span>$220,000 USD</span></div></div></div>

Machine Learning Engineer II

<p>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.<br /><br />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.</p>
<p><strong>Applied Scientist II</strong></p>
<p> </p>
<p><strong>Why We Have This Role</strong></p>
<p>We are looking for talented and innovative Applied Scientist to bring our Core AI Machine Learning and Artificial Intelligence R&amp;D and 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.</p>
<p>As an Applied Scientist at Qualtrics, you should love building cutting-edge predictive models to solve hard customer problems. Crafting models 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!</p>
<p><strong>How You’ll Find Success</strong></p>
<ul>
<li>Leverage your deep knowledge of artificial intelligence (AI) principles, including machine learning, natural language processing, computer vision, and reinforcement learning.</li>
<li>Use your understanding of both supervised and unsupervised learning techniques, and their applications in building intelligent systems.</li>
<li>Develop and optimize algorithms for building scalable and efficient GenAI applications.</li>
<li>Tackle challenging problems in creative ways, leveraging generative models to address real-world use cases and drive innovation.</li>
<li>Use effective communication skills to articulate technical concepts to non-technical stakeholders and gather requirements for GenAI application development.</li>
<li>Show strong programming skills in languages like Python, along with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.</li>
</ul>
<p><strong>How You’ll Grow</strong></p>
<ul>
<li>Passion for leveraging cutting-edge AI technology to create innovative GenAI applications that have a meaningful impact on businesses, industries, and society.</li>
<li>Commitment to developing GenAI applications that adhere to ethical standards and promote positive societal impact while minimizing potential risks.</li>
<li>Drive to push the boundaries of what's possible with AI, and to contribute to the advancement of the field through research, experimentation, and collaboration.</li>
<li>Willingness to stay updated with the latest advancements in AI research and technology, and to continuously learn and adapt to new methodologies and best practices.</li>
<li>Agility to pivot and iterate on GenAI applications based on feedback, emerging trends, and changing business requirements.</li>
</ul>
<p><strong>Things You’ll Do</strong></p>
<ul>
<li>Address challenges in products through Large Language Models, Deep Learning and Data Science approaches and publish research papers.</li>
<li>Work as part of a multidisciplinary team to research, implement, evaluate, optimize, productize and maintain cutting-edge machine learning models to meet the demands of our rapidly growing business</li>
<li>Stay on top of the latest developments in machine learning and related research, and present research findings with the broader community</li>
<li>Work closely with, and incorporate feedback from other specialists, engineers, and product managers</li>
<li>Lead and engage in design reviews, modeling discussions, requirement definitions and other technical activities in diverse capacity</li>
<li>Contribute to and inspire the Conversational AI, NLP, and Data Science technology roadmap at Qualtrics.</li>
<li>Design, build, and evaluate Agentic AI systems to solve complex customer challenges.</li>
</ul>
<p><strong>What We’re Looking For On Your Resume</strong></p>
<ul>
<li>Bachelors and Ph.D in Computer Science or related fields</li>
<li>Solid understanding of machine learning fundamentals and tool ecosystem</li>
<li>3+ years of combined academic and industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field.</li>
<li>Experience with Agentic AI systems, including design, development, and rigorous evaluation of agent performance.</li>
<li>Deep learning implementation expertise (TensorFlow, PyTorch etc)</li>
<li>Excellent command of at least one modern programming language (preferably Python)</li>
<li>Deep understanding of machine learning model life cycle management</li>
<li>Depth in one or more of the following: Natural Language processing, information retrieval, speech processing, deep learning, reinforcement learning, etc.</li>
<li>Knowledge of or experience in building production quality and large scale deployment of applications related to machine learning</li>
<li>Comfortable working in a fast paced, highly collaborative, dynamic work environment.</li>
<li>Experience in machine learning systems (e.g. SageMaker, MLFlow), and deep learning frameworks  (e.g. TensorFlow, PyTorch, MXNet etc) </li>
<li>Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.)</li>
</ul>
<p><strong>What You Should Know About This Team</strong></p>
<ul>
<li>The Core AI organization provides AI/ML research and development services for all product lines.</li>
<li>We partner with application teams to deliver ML algorithms and models that drive efficiency, innovation, and growth.</li>
<li>We identify business needs and define strategies where Qualtrics can most benefit from AI technologies.</li>
<li>We stay on top of the latest AI technologies and apply the state of the art to customer business problems. </li>
<li>We conduct ML modeling with deep expertise and rigor, including model selection, training, fine-tuning, customization, explainability, and evaluation. </li>
<li>We develop agentic applications, spanning both conversational and non-conversational interfaces, to empower our diverse global clientele.</li>
<li>We architect robust builder platforms that enable customers to seamlessly design and deploy their own custom agents.</li>
</ul>
<p><strong>Our Team’s Favorite Perks and Benefits</strong></p>
<ul>
<li>$1800 Experience bonus to be used for an “Experience” of your choosing</li>
<li>QMentorship Program matches you with a mentor inside Qualtrics to get meaningful coaching from someone outside your team. </li>
<li>Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&amp;Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.</li>
</ul>
<p><strong>The Qualtrics Hybrid Work Model: </strong>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. #hybrid </p>
<p><em>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.</em></p>
<p><em>​​​​​​​Applicants in the United States of America have rights under Federal Employment Laws:</em><a href="https://www.dol.gov/agencies/whd/posters/fmla" rel="noopener noreferrer ugc" target="_blank"><em>Family &amp; Medical Leave Act</em></a><em>,</em><a href="https://www.eeoc.gov/poster" rel="noopener noreferrer ugc" target="_blank"><em>Equal Opportunity Employment</em></a><em>,</em><a href="https://www.dol.gov/agencies/whd/posters/employee-polygraph-protection-act" rel="noopener noreferrer ugc" target="_blank"><em>Employee Polygraph Protection Act</em></a></p>
<p><em>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.</em></p>
<p><em>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.<br /><br /><br />#AI</em></p>
<p> </p><div><div><div><p><em>For full-time positions</em>, 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 <span><a href="https://www.qualtrics.com/careers/us/en/us-benefits" target="_blank" rel="noopener noreferrer ugc">Qualtrics US Benefits</a></span>.</p></div><div>Virginia Base Annual Pay Transparency Range</div><div><span>$155,000</span><span>—</span><span>$203,500 USD</span></div></div></div>

Applied Scientist II

<p>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.<br /><br />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.</p>
<p><strong>Applied Scientist II</strong></p>
<p> </p>
<p><strong>Why We Have This Role</strong></p>
<p>We are looking for talented and innovative Applied Scientist to bring our Core AI Machine Learning and Artificial Intelligence R&amp;D and 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.</p>
<p>As an Applied Scientist at Qualtrics, you should love building cutting-edge predictive models to solve hard customer problems. Crafting models 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!</p>
<p> </p>
<p><strong>How You’ll Find Success</strong></p>
<ul>
<li>Leverage your deep knowledge of artificial intelligence (AI) principles, including machine learning, natural language processing, computer vision, and reinforcement learning.</li>
<li>Use your understanding of both supervised and unsupervised learning techniques, and their applications in building intelligent systems.</li>
<li>Develop and optimize algorithms for building scalable and efficient GenAI applications.</li>
<li>Tackle challenging problems in creative ways, leveraging generative models to address real-world use cases and drive innovation.</li>
<li>Use effective communication skills to articulate technical concepts to non-technical stakeholders and gather requirements for GenAI application development.</li>
<li>Show strong programming skills in languages like Python, along with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.</li>
</ul>
<p><strong>How You’ll Grow</strong></p>
<ul>
<li>Passion for leveraging cutting-edge AI technology to create innovative GenAI applications that have a meaningful impact on businesses, industries, and society.</li>
<li>Commitment to developing GenAI applications that adhere to ethical standards and promote positive societal impact while minimizing potential risks.</li>
<li>Drive to push the boundaries of what's possible with AI, and to contribute to the advancement of the field through research, experimentation, and collaboration.</li>
<li>Willingness to stay updated with the latest advancements in AI research and technology, and to continuously learn and adapt to new methodologies and best practices.</li>
<li>Agility to pivot and iterate on GenAI applications based on feedback, emerging trends, and changing business requirements.</li>
</ul>
<p><strong>Things You’ll Do</strong></p>
<ul>
<li>Address challenges in products through Large Language Models, Deep Learning and Data Science approaches and publish research papers.</li>
<li>Work as part of a multidisciplinary team to research, implement, evaluate, optimize, productize and maintain cutting-edge machine learning models to meet the demands of our rapidly growing business</li>
<li>Stay on top of the latest developments in machine learning and related research, and present research findings with the broader community</li>
<li>Work closely with, and incorporate feedback from other specialists, engineers, and product managers</li>
<li>Lead and engage in design reviews, modeling discussions, requirement definitions and other technical activities in diverse capacity</li>
<li>Contribute to and inspire the Conversational AI, NLP, and Data Science technology roadmap at Qualtrics.</li>
<li>Design, build, and evaluate Agentic AI systems to solve complex customer challenges.</li>
</ul>
<p><strong>What We’re Looking For On Your Resume</strong></p>
<ul>
<li>Bachelors and Ph.D in Computer Science or related fields</li>
<li>Solid understanding of machine learning fundamentals and tool ecosystem</li>
<li>3+ years of combined academic and industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field.</li>
<li>Experience with Agentic AI systems, including design, development, and rigorous evaluation of agent performance.</li>
<li>Deep learning implementation expertise (TensorFlow, PyTorch etc)</li>
<li>Excellent command of at least one modern programming language (preferably Python)</li>
<li>Deep understanding of machine learning model life cycle management</li>
<li>Depth in one or more of the following: Natural Language processing, information retrieval, speech processing, deep learning, reinforcement learning, etc.</li>
<li>Knowledge of or experience in building production quality and large scale deployment of applications related to machine learning</li>
<li>Comfortable working in a fast paced, highly collaborative, dynamic work environment.</li>
<li>Experience in machine learning systems (e.g. SageMaker, MLFlow), and deep learning frameworks  (e.g. TensorFlow, PyTorch, MXNet etc) </li>
<li>Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.)</li>
</ul>
<p><strong>What You Should Know About This Team</strong></p>
<ul>
<li>The Core AI organization provides AI/ML research and development services for all product lines.</li>
<li>We partner with application teams to deliver ML algorithms and models that drive efficiency, innovation, and growth.</li>
<li>We identify business needs and define strategies where Qualtrics can most benefit from AI technologies.</li>
<li>We stay on top of the latest AI technologies and apply the state of the art to customer business problems. </li>
<li>We conduct ML modeling with deep expertise and rigor, including model selection, training, fine-tuning, customization, explainability, and evaluation. </li>
<li>We develop agentic applications, spanning both conversational and non-conversational interfaces, to empower our diverse global clientele.</li>
<li>We architect robust builder platforms that enable customers to seamlessly design and deploy their own custom agents.</li>
</ul>
<p><strong>Our Team’s Favorite Perks and Benefits</strong></p>
<ul>
<li>$1800 Experience bonus to be used for an “Experience” of your choosing</li>
<li>QMentorship Program matches you with a mentor inside Qualtrics to get meaningful coaching from someone outside your team. </li>
<li>Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&amp;Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.</li>
</ul>
<p><strong>The Qualtrics Hybrid Work Model: </strong>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. #hybrid </p>
<p><em>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.</em></p>
<p><em>​​​​​​​Applicants in the United States of America have rights under Federal Employment Laws:</em><a href="https://www.dol.gov/agencies/whd/posters/fmla" rel="noopener noreferrer ugc" target="_blank"><em>Family &amp; Medical Leave Act</em></a><em>,</em><a href="https://www.eeoc.gov/poster" rel="noopener noreferrer ugc" target="_blank"><em>Equal Opportunity Employment</em></a><em>,</em><a href="https://www.dol.gov/agencies/whd/posters/employee-polygraph-protection-act" rel="noopener noreferrer ugc" target="_blank"><em>Employee Polygraph Protection Act</em></a></p>
<p><em>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.</em></p>
<p><em>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.<br /><br /><br />#AI</em></p>
<p> </p>
<p> </p>
<p> </p><div><div><div><p><em>For full-time positions</em>, 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 <a href="https://www.qualtrics.com/careers/us/en/us-benefits" target="_blank" rel="noopener noreferrer ugc">Qualtrics US Benefits</a>.</p></div><div>Washington State Base Annual Pay Transparency Range</div><div><span>$167,500</span><span>—</span><span>$220,000 USD</span></div></div></div>

<div>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. <br /><br />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.</div>
<div> </div>
<div><strong>Staff Data Scientist: Semantic Substrate Incubation </strong></div>
<p><strong>Why We Have This Role</strong></p>
<div>At Semantic Substrate Incubation, we are drowning in data but starving for meaning. As our lead data scientist, you will bridge this "Meaning Gap" by turning raw, chaotic event logs into an intelligent, concept-linked graph—the Semantic Brain. You will move past basic chat interfaces to architect an Identity-Anchored World Model that allows LLMs to understand complex enterprise ideas like "High-Value Churn Risk" and drive autonomous, agentic decisions. Working alongside a tight-knit team of researchers and production engineers, your work will directly define how the next generation of AI comprehends the business world.</div>
<p><strong>How You’ll Find Success</strong></p>
<ul>
<li>Thrives in Ambiguity: Operates with a zero-to-one startup mentality. You don't need a map; you look at complex, unstructured data chaos and naturally enjoy building foundational AI products and data pipelines from scratch.</li>
<li>Bridges Science and Engineering: Fluidly moves between deep applied AI research and robust production engineering, ensuring brilliant theories actually scale in production.</li>
<li>Customer-Centric Translator: Enjoys working directly with pilot partners and customers, listening to their unique business pain points, and translating them into technical requirements and concrete industry ontologies.</li>
<li>Principled Technical Leader: Takes ownership of the technical vision, setting a high bar for architectural excellence while mentoring and elevating the engineering team around you.</li>
<li>Rigorous and Evidence-Driven: Rejects guesswork. You lean heavily on simulation, validation, and off-policy evaluation to ensure AI recommendations are grounded in reality.</li>
</ul>
<p><strong>How You’ll Grow</strong></p>
<ul>
<li>Pioneer Agentic AI: You will be at the absolute bleeding edge of LLM orchestration and world modeling, setting industry standards for how enterprises deploy autonomous agents.</li>
<li>Expand Technical Authorship: Refine your voice as an industry thought leader with active support to publish papers, write technical books, or speak at major global AI conferences.</li>
<li>Executive &amp; Strategic Visibility: Shape the foundational AI product roadmap of the company, giving you direct influence over strategic business decisions and high-level customer relationships.</li>
</ul>
<p><strong>Things You’ll Do</strong></p>
<ul>
<li>Map fragmented data to human-readable terms by leading the discovery and mapping of raw event logs to Vertical Ontologies (Industry Knowledge Packs).</li>
<li>Accelerate AI accuracy by 60% by designing and deploying a Concept Graph that anchors the substrate, utilizing verified profile IDs instead of session data for memory.</li>
<li>Train autonomous agents efficiently by building the logic for Reward Signal Extraction and Context-Aware actioning to infer KPIs directly from interaction logs, avoiding traditional delayed-reward bottlenecks.</li>
<li>Reduce agentic action risk by 40% by utilizing Off-Policy Evaluation (OPE) and action-conditional world models to simulate high-value scenarios and ground recommendations.</li>
<li>Avoid the "Services Trap" and enable scale by engineering automated systems that allow 80% of the team's context mapping to be executed seamlessly without manual intervention.</li>
</ul>
<p><strong>What We’re Looking For On Your Resume</strong></p>
<ul>
<li>A Proven Tracker Record in AI/ML: Broad capability delivering high-impact AI systems at scale (typically requires around 10+ years of professional data science experience).</li>
<li>Deep Graph Expertise: Hands-on experience designing, implementing, and querying graph databases, with specific, deep technical proficiency in AWS Neptune and SPARQL.</li>
<li>Production-Level Data Pipelines: Extensive experience with Apache Spark (PySpark/Scala) for large-scale distributed data processing and ETL optimization on massive datasets.</li>
<li>Modern LLM Orchestration: Direct, practical experience building sophisticated applications using frameworks like LangChain, LlamaIndex, or equivalent agentic workflows.</li>
<li>Cloud Architecture: Strong hands-on backend and infrastructure skills utilizing Python and the AWS ecosystem (EC2, Lambda, S3, CloudFormation, CDK, or Terraform).</li>
</ul>
<p><strong>What You Should Know About This Team</strong></p>
<div>
<ul>
<li>We Build From Scratch: We are a true zero-to-one incubation team. If you hate bureaucracy and love rapid prototyping and immediate impact, you will thrive here.</li>
<li>Unmatched Autonomy: We trust our experts. You will have the freedom to steer the technical direction of the Semantic Substrate without being micromanaged.</li>
<li>Collaboration Over Silos: We work fluidly across applied research, data engineering, and product. No throwing code over the wall—we build together.</li>
<li>Obsessed with Ground Truth: We aren't building wrappers or hype. We are focused on solving the deepest technical challenges in the enterprise AI space with academic rigor.</li>
</ul>
</div>
<p><strong>Our Team’s Favorite Perks and Benefits</strong></p>
<ul>
<li>Dedicated Growth Time: We spend 10% of our time every quarter on individual engineering growth activities, research exploration, and passion projects.</li>
<li>Continuous Learning Stipend: Receive an annual stipend for technical books, research papers, and subscriptions to keep your skills at the absolute cutting edge.</li>
<li>Conference &amp; Publication Support: Fully covered travel and attendance expenses when you are selected to present research or speak at major industry AI conferences.</li>
<li>Top-Tier Health &amp; Wellness: Comprehensive global health, dental, and vision coverage, alongside flexible time-off policies to ensure you stay energized.</li>
</ul>
<div><strong>The Qualtrics Hybrid Work Model</strong>: 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. #hybrid</div>
<div> </div>
<div><em>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.</em></div>
<div> </div>
<div><em>​​​​​​​Applicants in the United States of America have rights under Federal Employment Laws:<a href="https://www.dol.gov/agencies/whd/posters/fmla" rel="noopener noreferrer ugc" target="_blank">Family &amp; Medical Leave Act</a>, <a href="https://www.eeoc.gov/poster" rel="noopener noreferrer ugc" target="_blank">Equal Opportunity Employment</a>, <a href="https://www.dol.gov/agencies/whd/posters/employee-polygraph-protection-act" rel="noopener noreferrer ugc" target="_blank">Employee Polygraph Protection Act</a></em></div>
<div> </div>
<div><em>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.</em></div>
<div> </div>
<div><em>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.</em></div>
<div> </div>
<div><em><strong><code>#AI</code></strong></em></div><div><div><div><p><em>For full-time positions</em>, 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 <a href="https://www.qualtrics.com/careers/us/en/us-benefits" target="_blank" rel="noopener noreferrer ugc">Qualtrics US Benefits</a>.</p></div><div>Washington State Base Annual Pay Transparency Range</div><div><span>$206,500</span><span>—</span><span>$271,000 USD</span></div></div></div>

Staff Data Scientist - AI

<p>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. <br /><br />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.</p>
<p><strong>Staff Machine Learning Engineer, Foundation - Seattle </strong></p>
<p><strong>Why We Have This Role</strong></p>
<p>We are looking for an experienced Machine Learning Engineer to bring our Machine Learning and Artificial Intelligence R&amp;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. We aim to enhance our capabilities in developing and maintaining high-performance systems that can effectively handle large volumes of data and complex algorithms. This role will be pivotal in driving innovation and ensuring our machine learning initiatives support our mission of closing experience gaps across various domains.</p>
<p><strong>How You’ll Find Success</strong></p>
<ul>
<li>Working in a supportive environment enables individual growth and the achievement of team goals.</li>
<li>Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers.</li>
<li>It will be crucial to stay on top of technology trends and educate leadership and stakeholders on trends, and North Star initiatives.</li>
<li>Analyze and enhance ML systems for better performance and efficiency.</li>
<li>Develop creative solutions to improve our ML infrastructure and scalability</li>
</ul>
<p><strong>How You'll Grow</strong></p>
<ul>
<li>Expand your expertise in machine learning and software engineering by working on cutting-edge technologies and large-scale systems.</li>
<li>Take on mentorship roles and collaborative projects to refine your leadership skills and guide junior team members.</li>
<li>Gain insights into different areas of the business by collaborating with various teams, enriching your understanding of how technology impacts overall company strategy.</li>
</ul>
<p><strong>Things You’ll Do</strong></p>
<ul>
<li>Design and develop robust AI architectures, frameworks, and algorithms that can support large-scale and complex enterprise SaaS AI solutions in alignment with business objectives. </li>
<li>Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability.</li>
<li>Collaborate across the company to guide the direction of machine learning at Qualtrics, spanning teams from research to production.</li>
<li>Communicate with a team of research scientists, product managers, and engineers and lead and document AI architectures, design decisions, and technical specifications for reference and knowledge sharing.</li>
<li>Work closely with research scientists and model engineering teams on developing, and deploying, ML systems in production. Develop a strategy for optimizing models and systems for performance, scalability, efficiency, and cost.</li>
<li>Offer technical supervision and direction to the ML platform teams and lead the creation of future ML platform for deploying and monitoring AI models in production settings while maintaining compliance with the best practices in machine learning and deep learning.</li>
<li>Conduct regular code reviews and provide technical guidance to team members.</li>
<li>Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization.</li>
</ul>
<p><strong>What We’re Looking For On Your Resume</strong></p>
<ul>
<li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.</li>
<li>Proven experience (7+ years) working as a Machine Learning Engineer, or related role.</li>
<li>Proficiency in programming languages such as Python, Java, or C++, and popular AI libraries and frameworks (e.g. TensorFlow, PyTorch, Keras).</li>
<li>Solid understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms.</li>
<li>Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components.</li>
<li>Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams.</li>
<li>Ability to stay updated with the latest AI technologies, frameworks, and platform advancements.</li>
<li>Knowledge of deploying and optimizing LLMS with open-source frameworks like DeepSpeed, Accelerate, FasterTransformer, and Transformers-NeuronX libraries is a plus.</li>
<li>Knowledge of ethical considerations and responsible AI practices is a plus.</li>
</ul>
<p><strong>What You Should Know About This Team</strong></p>
<ul>
<li>The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines.</li>
<li>This role will specifically be on the Data Intelligence Platform (DIP) team which works on building services and tools that enable ML and intelligence across multiple products. </li>
<li>The DIP team's goal is to accelerate Qualtrics's ML adoption by enabling every engineering team to experiment, design, build, monitor, and troubleshoot ML-powered applications with a Platform that applies reusable components, patterns, and standards/best practices.</li>
</ul>
<p><strong>Our Team’s Favorite Perks and Benefits</strong></p>
<ul>
<li>Wellness Reimbursement for $300 per quarter for wellness activities, including gym memberships, spa massages, workout equipment, meditation apps, and much more.</li>
<li>$1800 yearly Experience bonus to be used for an “Experience” of your choosing</li>
<li>Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&amp;Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.</li>
</ul>
<div><strong>The Qualtrics Hybrid Work Model:</strong> 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. <strong>#hybrid</strong></div>
<div> </div>
<div><em>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.</em></div>
<div><em>​​​​​</em></div>
<div><em>Applicants in the United States of America have rights under Federal Employment Laws: <a href="https://www.dol.gov/agencies/whd/posters/fmla" rel="noopener noreferrer ugc" target="_blank">Family &amp; Medical Leave Act</a>,<a href="https://www.eeoc.gov/poster" rel="noopener noreferrer ugc" target="_blank">Equal Opportunity Employment</a>,<a href="https://www.dol.gov/agencies/whd/posters/employee-polygraph-protection-act" rel="noopener noreferrer ugc" target="_blank">Employee Polygraph Protection Act</a></em></div>
<div> </div>
<div><em>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.</em></div>
<div> </div>
<div><em>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.</em></div>
<div> </div>
<div><em><strong><code>#AI</code></strong></em></div><div><div><div><p><em>For full-time positions</em>, 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 <a href="https://www.qualtrics.com/careers/us/en/us-benefits" target="_blank" rel="noopener noreferrer ugc">Qualtrics US Benefits</a>.</p></div><div>Washington State Base Annual Pay Transparency Range</div><div><span>$208,000</span><span>—</span><span>$298,500 USD</span></div></div></div>

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Machine Learning Engineer II

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Applied Scientist II

Staff Data Scientist - AI

Staff Machine Learning Engineer, Foundation - Seattle

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