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.
Applied Scientist Intern
Why We Have This Role
We are looking for talented and innovative Applied Science Interns 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.As a Machine Learning - Applied Scientist Intern 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!
How You’ll Find Success
- Work on clearly defined, impactful projects that align with both personal growth goals and organizational objectives, allowing you to showcase your contributions and gain recognition for your achievements.
- Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers.
- Engage in a supportive team culture that encourages open communication and collaboration, fostering an atmosphere where you can share ideas, learn from peers, and receive constructive feedback to help you succeed in your internship role.
- Benefit from dedicated mentorship by seasoned experts who will provide guidance, resources, and feedback, ensuring you navigate your projects effectively and develop a deeper understanding of applied scientific methodologies.
How You’ll Grow
- Gain practical experience by working on real-world projects alongside experienced scientists and engineers, allowing you to apply theoretical knowledge and contribute to impactful research and development initiatives.
- Build connections with industry professionals and fellow interns through mentoring sessions, team meetings, and networking events, providing valuable insights into career paths and opportunities in the applied science domain.
Things You’ll Do
- Address challenges in products through Large Language Models, Deep Learning and Data Science approaches and publish research papers.
- Work as part of a multidisciplinary team to research, implement, and evaluate 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.
- Explore fundamental challenges for Conversational AI, NLP, Deep Learning, and Data Science and make breakthroughs.
- Work closely with, and incorporate feedback from other scientists, engineers, and product managers.
- Participate in design reviews, modeling discussions, requirement definitions and other technical activities in a diverse capacity.
- Contribute to and inspire the Conversational AI, NLP, and Data Science technology roadmap at Qualtrics.
What We’re Looking For On Your Resume
- Enrolled in a Masters or PhD degree in Computer Science or related fields
- Solid understanding of machine learning fundamentals and tool ecosystem
- Experience in academic or industrial research in machine learning, NLP, information retrieval, deep learning or a related field.
- Experience using and/or training LLMs
- Deep learning implementation expertise (PyTorch, TensorFlow, etc.).
- Excellent communication, writing and presentation skills.
- Excellent command of at least one modern programming language (preferably Python)
- Dynamic 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
- Experience with managing, processing and analyzing large, complex, multi-modal and unstructured datasets
- 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, etc).
- Strong publication record in top-tier NLP and ML conferences (e.g. ACL, EMNLP, NeurIPS, ICML, SIGIR, ICLR, etc.).
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. We partner with application teams to deliver ML algorithms and models that drive efficiency, innovation, and growth.We identify business needs and define strategies where Qualtrics can most benefit from AI technologies. We stay on top of the latest AI technologies and apply the state of the art to customer business problems. We conduct ML modeling with deep expertise and rigor, including model selection, training, fine-tuning, customization, explainability, and evaluation.
Our Team’s Favorite Perks and Benefits
- QMentorship Program matches you with a mentor inside Qualtrics to get meaningful coaching from someone outside your team.
- 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.
- Unlimited Sick Days
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 ActQualtrics 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$88,500—$125,500 USD
