Sr. ML Infrastructure Engineer, Siri Runtime Systems and Interaction

Apple Apple · Big Tech · Seattle, WA · Software and Services

The role focuses on building the data and infrastructure ecosystem to support ML development for Siri. It involves end-to-end ownership of services and data products, working closely with ML Modeling, Infrastructure, Software, Hardware, and Operations teams.

What you'd actually do

  1. help us create the data and infrastructure ecosystem needed to support our ML development and continuously improve our features
  2. take full end-to-end ownership of our services and data products, driving them through every stage meticulously, encompassing conception, design, implementation, deployment, and maintenance
  3. work on complex problems in close partnership with our ML Modeling teams, Infrastructure, Software, Hardware and Operations

Skills

Required

  • Python
  • Docker
  • Cloud Infrastructure
  • Spark
  • algorithms
  • data structures
  • system design
  • developing and debugging software service stacks

Nice to have

  • Pytorch
  • Tensorflow
  • Airflow
  • Kubeflow
  • tools and services to optimize ML systems

What the JD emphasized

  • end-to-end ownership
  • ML development
  • data and infrastructure ecosystem

Other signals

  • ML development
  • data and infrastructure ecosystem
  • ML Modeling teams