Qualtrics is looking to personalize their customer experience using Machine Learning and Artificial Intelligence, leveraging their data as a core value proposition and competitive advantage. This role aims to bring their ML and AI R&D and strategy to the next level by developing and implementing ML algorithms and models.
Requirements
- 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.
- Show strong programming skills in languages like Python, along with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.
- Deep learning implementation expertise (MxNet, TensorFlow, PyTorch etc)
- Excellent command of at least one modern programming language (preferably Python)
- Deep understanding of machine learning model life cycle management
- Experience in machine learning systems (e.g. SageMaker, MLFlow), and deep learning frameworks (e.g. TensorFlow, PyTorch, MXNet etc)
Responsibilities
- 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
- Develop and optimize algorithms for building scalable and efficient GenAI applications.
- Conduct ML modeling with deep expertise and rigor, including model selection, training, fine-tuning, customization, explainability, and evaluation.
Other
- Bachelors and Graduate Degree in Computer Science or related fields
- 8+ years of combined academic and industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field.
- Excellent communication, writing and presentation skills
- Excellent problem solving ability
- Comfortable working in a fast paced, highly collaborative, dynamic work environment.
