Staff Applied Scientist

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 5000 people across the globe who think that’s work worth doing.

Staff Applied Scientist

Why We Have This Role

We are looking for a talented and innovative Staff Applied Scientist to bring our Machine Learning and Artificial Intelligence R&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. This team partners with application teams to deliver ML algorithms and models that drive efficiency innovation and growth. They identify business needs and define strategies where Qualtrics can most benefit from AI technologies and they conduct ML modeling with deep expertise and rigor including model selection training fine-tuning customization explainability and evaluation.

How You’ll Find Success

• Leverage your deep knowledge of artificial intelligence (AI) principles including machine learning natural language processing computer vision and reinforcement learning.
• Use your understanding of both supervised and unsupervised learning techniques and their applications in building intelligent systems.
• Develop and optimize algorithms for building scalable and efficient GenAI applications.
• Tackle challenging problems in creative ways leveraging generative models to address real-world use cases and drive innovation.
• Use effective communication skills to articulate technical concepts to non-technical stakeholders and gather requirements for GenAI application development.
• Design and execute sophisticated evaluation strategies for agentic systems including defining rubric-based success criteria multi-turn conversation simulation and implementing LLM-as-a-judge frameworks.
• Show strong programming skills in languages like Python along with proficiency in deep learning frameworks such as TensorFlow PyTorch or similar.

How You’ll Grow

• Passion for leveraging cutting-edge AI technology to create innovative GenAI applications that have a meaningful impact on businesses industries and society.
• Commitment to developing GenAI applications that adhere to ethical standards and promote positive societal impact while minimizing potential risks.
• 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.
• 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.
• Agility to pivot and iterate on GenAI applications based on feedback emerging trends and changing business requirements.

Things You’ll Do

• 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
• Stay on top of the latest developments in machine learning and related research and present research findings with the broader community
• Work closely with and incorporate feedback from other specialists engineers and product managers
• Lead and engage in design reviews modeling discussions requirement definitions and other technical activities in diverse capacity
• Mentor and grow junior scientists drive best practices for experimentation reproducibility monitoring and lifecycle management and ensure models are reliable scalable and impactful in production
• Champion Evaluation-Driven Development (EDD) by embedding automated testing risk-based assessments and production monitoring into the full agentic lifecycle.

What We’re Looking For On Your Resume

• Bachelors and Ph.D in Computer Science or related fields
• 7+ years of industrial research experience in machine learning NLP information retrieval deep learning or a related field.
• Deep learning implementation expertise (MxNet TensorFlow PyTorch etc)
• Excellent communication writing and presentation skills
• Excellent command of at least one modern programming language (preferably Python)
• Excellent problem solving ability
• Deep understanding of machine learning model life cycle management
• Depth in one or more of the following: Natural Language processing information retrieval speech processing deep learning reinforcement learning etc.
• Knowledge of or experience in building production quality and large scale deployment of applications related to machine learning
• Comfortable working in a fast paced highly collaborative dynamic work environment.
• Experience in machine learning systems (e.g. SageMaker MLFlow) and deep learning frameworks  (e.g. TensorFlow PyTorch MXNet etc)
• Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS ICML SIGIR ICLR ACL EMNLP etc.)
• Proven track record in evaluating complex multi-turn agentic systems. Deep experience with observability tools evaluating tool-use reliability and implementing systematic benchmarking in CI/CD pipelines.

What You Should Know About This Team

• The Core AI organization provides AI/ML research and development services for all product lines.
• We are a global team spanning across the US Canada and Europe.
• We stay on top of the latest AI technologies and apply the state of the art to customer business problems.
• We develop agentic applications spanning both conversational and non-conversational interfaces to empower our diverse global clientele.
• We architect robust builder platforms that enable customers to seamlessly design and deploy their own custom agents.

Our Team’s Favorite Perks and Benefits

• Wellness Reimbursement for $300 per quarter for wellness activities including gym memberships spa massages workout equipment meditation apps and much more.
• $1800 Experience bonus to be used for an “Experience” of your choosing
• 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. #hybrid

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.

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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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