Machine Learning Platform Engineer, Apple Services Engineering

Apple

United States Of America, United States
Not specified (likely hybrid based on apple's general practices)
4-8 years software engineering experience
Strong python fluency with fastapi and pydantic
Hands-on llm evaluation and orchestration experience
Apple is seeking a Machine Learning Platform Engineer to build and support the evaluation platform for its generative AI systems. The role emphasizes hands-on engineering, ownership of platform features, and collaboration with various teams to enhance the performance and usability of AI technologies

Job Summary

  • This role involves building the core evaluation platform that serves all of Apple's generative AI and agent systems.
  • You will partner closely with research engineers to translate prototype code into reliable, scalable production services.
  • The position requires a builder's mindset capable of balancing rapid iteration with rigorous testing and operational ownership.

Matching Summary

Match Score: 85

Apple is seeking a Machine Learning Platform Engineer to build and support the evaluation platform for its generative AI systems. The role emphasizes hands-on engineering, ownership of platform features, and collaboration with various teams to enhance the performance and usability of AI technologies.

Skills & Requirements

Must-have

  • 4-8 years software engineering experience
  • Strong Python fluency with FastAPI and Pydantic
  • Hands-on LLM evaluation and orchestration experience
  • Production deployment of non-deterministic AI systems
  • Fluency with AI coding tools like Claude Code
  • Experience with CI/CD, Docker, and observability

Nice-to-have

  • Experience building developer platforms or internal SDKs
  • Familiarity with job orchestration frameworks like Temporal.io
  • Distributed compute experience with Ray or Kubernetes
  • Startup experience wearing multiple hats
  • Knowledge of experiment tracking tools like Weights & Biases

Key Requirements

  • 4-8 years of software engineering experience
  • Fluency in modern Python ecosystem (FastAPI, Pydantic)
  • Proven experience with LLM evaluation frameworks
  • Solid understanding of CI/CD and containerization

Work Rights

Not specified

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