Staff Data Science Engineer, Siri Runtime Systems and Interaction

Apple Apple · Big Tech · Cupertino, CA +1 · Software and Services

Staff Data Science Engineer for Siri's Attention and Invocation team, focusing on making Siri and Apple products more intelligent. The role involves leading ML solution development, establishing best practices for model validation and monitoring, driving technical decisions for ML/AI initiatives, and collaborating with stakeholders to define requirements and shape the data science roadmap.

What you'd actually do

  1. Lead complex data science projects from conception through production development
  2. Establish best practices for model validation, and monitoring
  3. Drive technical decisions and architecture for ML/AI initiatives
  4. Identify high-impact opportunities where data science can drive business value
  5. Collaborate with product, engineering, and business stakeholders to define requirements

Skills

Required

  • Python
  • R
  • machine learning algorithms
  • statistical methods
  • SQL
  • big data technologies
  • Spark
  • Hadoop
  • leading technical projects
  • mentoring teams
  • communication

Nice to have

  • cloud platforms
  • AWS
  • GCP
  • Azure
  • ML frameworks
  • TensorFlow
  • PyTorch
  • scikit-learn
  • workflow orchestrators
  • Airflow
  • Kubeflow
  • deploying models to production

What the JD emphasized

  • production development
  • model validation
  • monitoring
  • ML/AI initiatives

Other signals

  • Siri
  • machine learning
  • data science
  • production development
  • large scale systems