Applied Scientist II
Listed on 2026-01-12
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer, Data Analyst
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.
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.
We are looking for talented and innovative 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.
Responsibilities- 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.
- Show strong programming skills in languages like Python, along with proficiency in deep learning frameworks such as Tensor Flow, PyTorch, or similar.
- Bachelors Degree in Computer Science or related fields, Graduate Degree preferred
- Solid understanding of machine learning fundamentals and tool ecosystem
- 2+ years of combined academic and industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field.
- Deep learning implementation expertise (Tensor Flow, PyTorch etc)
- Excellent command of at least one modern programming language (preferably Python)
- Graduate degree in computer science or related fields
- 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. Sage Maker, MLFlow), and deep learning frameworks (e.g. Tensor Flow, PyTorch, MXNet etc)
- Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.)
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.
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