Senior Machine Learning Engineer

Qualtrics Qualtrics · Seattle · Seattle, WA · Core AI

Senior Machine Learning Engineer to advance Qualtrics's AI/ML R&D strategy, focusing on personalizing customer experiences with ML/AI features. The role involves developing scalable microservices, building and deploying ML models, and productizing cutting-edge models. The team builds core ML infrastructure and services to accelerate ML adoption across the company.

What you'd actually do

  1. Develop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning models
  2. Implement new features and optimize existing ones to delight our customers
  3. Work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing business
  4. Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.
  5. Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity

Skills

Required

  • TensorFlow or PyTorch
  • algorithm design
  • complexity analysis
  • performance
  • Java, C# or Python
  • object-oriented design
  • applied machine learning models
  • large-scale ML systems
  • problem-solving
  • analytical skills
  • communication skills
  • collaboration skills

Nice to have

  • multi-modal data

What the JD emphasized

  • designing, implementing, and optimizing machine learning models for real-world applications
  • applied machine learning models and large-scale ML systems

Other signals

  • personalize the Qualtrics experience using ML and AI features
  • build and deploy machine learning models
  • productize cutting-edge machine learning models
  • build core machine learning infrastructure and services
  • accelerate Qualtrics's ML adoption