Job Board
LogoLogo

Get Jobs Tailored to Your Resume

Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Apple Logo

AIML - Senior Software Engineer, Machine Learning Platform Technologies

Apple

Salary not specified
Dec 6, 2025
Seattle, WA, US
Apply Now

Apple is looking to shape how they measure the success and reliability of Apple Intelligence software features

Requirements

  • Experience with distributed systems, cloud data infrastructure (AWS, GCP, or internal equivalents), and observability tools
  • Familiarity with privacy-preserving data collection and measurement design principles
  • Strong programming skills in Python, Go, Java, or Swift, with a focus on scalable, maintainable systems
  • Proven experience designing and instrumenting telemetry for measuring product success, reliability, or performance
  • Experience working with large data pipelines or analytics systems; proficiency in data validation, querying, and quality monitoring
  • Deep understanding of observability concepts - tracing, logging, and metrics - and experience integrating them into engineering workflows
  • Familiarity with on-device telemetry or iOS development (Swift, Xcode, UIKit/SwiftUI) is a strong plus

Responsibilities

  • architect and build systems that capture meaningful signals from our software stack
  • design metrics that reveal product health
  • ensure that every new feature ships with measurement built in from the start
  • design data models and instrumentation
  • establish SLAs and success metrics
  • ensure telemetry is accurate, privacy-preserving, and actionable
  • integrate measurement into feature development from the start

Other

  • BS/MS in Computer Science, Data Engineering, or equivalent experience
  • Strong written and verbal communication skills; ability to make complex systems understandable and actionable
  • Collaborative and proactive in partnering with multiple engineering teams to ensure measurement and observability are consistent and reliable
  • Demonstrated ability to lead cross-functional engineering initiatives
  • Ability to translate product or engineering goals into measurable outcomes and define the right metrics to validate them