Senior Applied Scientist
Seattle, Washington, United States
Applications have closed
Qualtrics
Know what your customers and employees need, when they need it, and deliver it every time with powerful, AI driven Experience Management (XM) software.Qualtrics, the leader in customer experience and creator of the Experience Management (XM) category, is changing the way organizations manage and improve the four core experiences of business––customer, employee, product, and brand. Over 11,000 organizations around the world are using Qualtrics to listen, understand, and take action on experience data (X-data™)––the beliefs, emotions, and intentions that tell you why things are happening, and what to do about it.
The Qualtrics XM Platform™ is a system of action that helps businesses attract customers who stay longer and buy more, engage employees who build a positive culture, develop breakthrough products people love, and build a brand people are passionate about. Join us as we help change the way people experience the world! Advance your career at a company that is dedicated to your ideas and growth, fills you with purpose, and provides a fun, inclusive work environment.
About the role:
As an Applied Scientist at Qualtrics, you’ll collaborate with software engineers and other data scientists to develop customer feedback analytics using NLP and Machine Learning. Our large and diverse data sources include social media, surveys, online reviews, and call center transcripts from major companies across the globe. You will apply methods such as text classification, topic modeling, clustering, and transfer learning using both traditional and deep learning approaches. This is an applied research role with a practical focus on adapting methods from open source and the research literature for high-volume production pipelines.
Preferred Qualifications
You have a proven record of developing ML components for robust and scalable data-intensive applications. Specifically:
- 5+ years work experience.
- Advanced training in Natural Language Processing and Machine Learning.
- Proficiency in Python, including the ML ecosystem and software development tools.
- Knowledge and experience with traditional ML techniques such as Logistic Regression and Random Forests.
- Knowledge and experience with architectures such as LSTMs and Transformers in at least one deep learning framework (TensorFlow, PyTorch).
- Preferably, experience working with data in other languages besides English.
- Familiarity with software development practices such as containerization (docker), dependency management, testing, and API frameworks.
- Ability to communicate results both to peers and to company leadership.
Qualtrics are an equal opportunity employer
Qualtrics provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.
Tags: APIs Architecture Classification Clustering Deep Learning Docker Machine Learning NLP Open Source Pipelines Python PyTorch Research TensorFlow Testing Topic modeling Transformers
Perks/benefits: Career development Startup environment
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