Qualtrics is hiring a
Senior Applied Scientist

Summary

Join our team at Qualtrics as a Senior Applied Scientist and contribute to the development of cutting-edge machine learning models. As part of the Data Intelligence Center of Excellence, you will work on research, implementation, evaluation, optimization, productization, and maintenance of ML algorithms and models. You should have a strong understanding of AI principles, including machine learning, natural language processing, computer vision, and reinforcement learning.

Requirements

• Bachelors and Graduate Degree in Computer Science or related fields
• Solid understanding of machine learning fundamentals and tool ecosystem
• 5+ years of combined academic and industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field
• Deep learning implementation expertise (MxNet, TensorFlow, PyTorch etc)
• Excellent communication, writing and presentation skills
• Excellent command of at least one modern programming language (preferably Python)
• Excellent 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
• 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, MXNet etc)

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 TensorFlow, PyTorch, or similar

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