About the Role

We are looking for applied scientists 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.

As an Applied Scientist at Qualtrics, you should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!

In addition, you will:

  • 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, modelling discussions, requirement definitions and other technical activities in diverse capacity
  • Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers

Preferred Qualifications

  • Master’s or other advanced degrees in Mathematics, Computer Science, or Engineering with 5+ years of industrial experience in at least one of the following fields:
    • Natural language processing: text labeling and classification, text understanding, question answering, dialogue systems, entity extraction and reasoning, knowledge graph, etc.
    • Time series modelling: forecasting, anomaly detection
    • Machine learning: deep learning, distributed machine learning, large-scale optimization, Bayesian probabilistic inference
    • Data mining: information extraction, recommender systems, knowledge/pattern discovery, anomaly/churn detection
    • Computer vision: image classification, object detection, segmentation
  • Expert in conducting state-of-the-art research, system design, and applying novel techniques to live production systems
  • Experience with managing, processing and analysing large, complex, multi-modal and unstructured datasets
  • Experience in machine learning systems (e.g. SageMaker, MLFlow), and deep learning frameworks  (e.g. TensorFlow, PyTorch, MXNet etc) 
  • Strong publication record in top-tier ML conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, KDD etc.)
  • Excellent communication, writing and presentation skills

What differentiates us from other companies:

  • Work life integration is deeply important to us - we have frequent office events, team outings, and happy hours
  • We take pride in our offices design aiming at cultivating creativity from our rooftop views to an open and collaborative work space
  • On top of the standard benefits package (medical, dental, vision, life insurance, etc) we provide snacks, drinks, and free lunches in our office
  • We believe in sharing Qualtrics success which is part of the compensation for all employees

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