Qualtrics is looking to enhance its Machine Learning and Artificial Intelligence R&D and strategy to personalize the Qualtrics experience using ML and AI features, showcasing Qualtrics data as a core value proposition and competitive advantage.
Requirements
- 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 (TensorFlow, PyTorch etc)
- Excellent command of at least one modern programming language (preferably Python)
- 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
Responsibilities
- 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, 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
- Contribute to and inspire the Conversational AI, NLP, and Data Science technology roadmap at Qualtrics.
- Leverage your deep knowledge of artificial intelligence (AI) principles, including machine learning, natural language processing, computer vision, and reinforcement learning.
Other
- Bachelors Degree in Computer Science or related fields, Graduate Degree preferred
- Graduate degree in computer science or related fields
- Comfortable working in a fast paced, highly collaborative, dynamic work environment.
- Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.)
- Use effective communication skills to articulate technical concepts to non-technical stakeholders and gather requirements for GenAI application development.
