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Machine Learning Infrastructure and Data Engineer

Apple

$147,400 - $272,100
Oct 30, 2025
Sunnyvale, CA, US
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Apple is looking to solve the problem of creating amazing experiences in their products, specifically in the Video Computer Vision (VCV) organization, by building higher level reasoning algorithms and delivering Apple quality, pioneering experiences.

Requirements

  • Extensive programming experience in Python, Go, or Java
  • Hands-on experience with cloud providers (AWS, GCP, or Azure)
  • Strong understanding of core infrastructure concepts (e.g., compute, networking, storage, containers, Kubernetes)
  • Experience with machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment
  • Proficiency with cloud computing and distributed data processing infrastructure and tools (e.g., Kubernetes, Ray, Spark, Trino)
  • Hands-on experience with CI/CD pipelines and practices
  • Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, Pulumi, or CloudFormation)

Responsibilities

  • Help create the data and infrastructure ecosystem needed to support ML development and continuously improve features
  • Take full end-to-end ownership of services and data products, driving them through every stage meticulously
  • Work on complex problems in close partnership with ML engineers, data scientists, and software integration teams
  • Drive projects from concept to production, balancing business needs with technical quality and timely delivery
  • Implement and maintain infrastructure and data products
  • Collaborate with cross-functional teams to deliver Apple quality experiences
  • Push the limits of ML algorithms with hands-on work and real-world and simulated data

Other

  • Bachelor's degree in Computer Science or related discipline, and 2 years relevant industry experience
  • Excellent communication skills, ability to work both independently and multi-functionally
  • Ability to drive projects from concept to production, balancing business needs with technical quality and timely delivery
  • Comprehensive medical and dental coverage, retirement benefits, and other benefits
  • Discretionary restricted stock unit awards and employee stock purchase plan