Qualtrics is hiring a
Applied Scientist

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Qualtrics

πŸ’΅ ~$180k-$250k
πŸ“Remote - Canada

Summary

Join our team at Qualtrics as an Applied Scientist and contribute to the development of cutting-edge machine learning models. As a key member of our Data Intelligence Center of Excellence, you will work on research, implementation, evaluation, optimization, productization, and maintenance of ML algorithms and models. If you have a passion for leveraging AI technology to create innovative GenAI applications, we encourage you to apply.

Requirements

  • Bachelors in Computer Science or related fields
  • 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)
  • 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. 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

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