On-Device ML Quality & Infra Engineer

Apple

Cupertino (CA)

Presencial

USD 170.000 - 230.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Apple seeks an On-Device ML Quality Infrastructure Engineer to design, build, and maintain the build systems and CI/CD pipelines that power our ML stack. You will develop automation frameworks for rigorous testing and contribute to robustness initiatives, including fuzz testing.

You will collaborate across ML, compiler, and hardware teams to scale validation workflows and ensure high-quality production readiness.

Formación

  • Bachelor's in Computer Science or related field required.
  • Build systems experience with CMake/Bazel and CI/CD.
  • Strong programming and software design skills in Python.
  • Deep knowledge of quality practices and fundamentals including test planning, automation, and performance evaluation.
  • Excellent collaboration and communication skills.

Responsabilidades

  • Design, build, and maintain build systems and CI/CD pipelines for the On-Device ML stack.
  • Develop and maintain automation frameworks for functional, regression, and integration testing.
  • Contribute to robustness and reliability initiatives, including fuzz testing of stack components such as parsers, compilers, and runtimes.
  • Track and investigate performance regressions; work with engineering teams to resolve them.
  • Identify gaps in testing coverage and tooling; drive improvements proactively.
  • Develop and maintain tooling to help engineers diagnose, debug, and fix issues across the ML stack.
  • Collaborate with Apple's CI and infrastructure teams to scale and accelerate validation workflows.
  • Work cross-functionally with ML, compiler, and hardware teams to ensure infrastructure meets their needs.

Conocimientos

Build systems
CI/CD
Python
Quality practices
Collaboration

Educación

Bachelor's in Computer Science
Master's in Computer Science

Herramientas

CMake
Bazel

Descripción del empleo

Apple seeks an On-Device ML Quality Infrastructure Engineer to design, build, and maintain the build systems and CI/CD pipelines that power our ML stack. You will develop automation frameworks for rigorous testing and contribute to robustness initiatives, including fuzz testing.

You will collaborate across ML, compiler, and hardware teams to scale validation workflows and ensure high-quality production readiness.

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