Manager, Machine Learning Infrastructure - SIML

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$198,300–$342,800 / yr
Posted
28 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $223k
This role $271k
$159k most similar roles pay here $362k

This role pays more than 82% of similar roles. Most pay $191,787–$254,962 — the shaded band above. At the midpoint, this role pays about $271k versus about $223k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Manager, Machine Learning Infrastructure - SIML

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As an Engineering Manager within the System Intelligent and Machine Learning (SIML) group at Apple, you will lead a team responsible for developing scalable infrastructure that supports large-scale data processing across various domains including image generation, natural language processing, and text recognition. Your day-to-day responsibilities include defining technical strategies, architecting systems for data ingestion and processing, and collaborating with ML researchers and product teams to deliver end-to-end solutions. You will need strong programming skills in Python, Java, Go, or C/C++, along with expertise in machine learning fundamentals and distributed computing. The role requires experience in building and scaling backend infrastructure and a solid understanding of system design principles. This position plays a crucial role in shaping how ML systems are developed and scaled within Apple’s ecosystem, addressing challenges that range from low-level distributed systems to high-level user interfaces for internal users.

Skills

Python Java Go C/C++ Docker Kubernetes Terraform AWS CI/CD Prometheus Grafana PostgreSQL Redis Git Jenkins Ansible MLflow TensorFlow PyTorch

What you'll do

  • Lead a team of engineers building ML infrastructure for data, training, and evaluation.
  • Define technical strategy and roadmap for scalable ML systems and data infrastructure.
  • Architect large-scale data ingestion, processing, indexing, and access systems.
  • Drive best practices in distributed computing and performance optimization for ML.
  • Improve developer experience through robust tooling and self-service workflows.
  • Ensure ML systems are reliable, scalable, and efficient for rapid iteration needs.

What we're looking for

  • 7+ years of software engineering experience including 2+ years in technical leadership or management
  • Strong programming skills in Python, Java, Go, C/C++ or similar languages
  • Solid understanding of machine learning fundamentals and system workflows
  • Proven experience building and scaling distributed systems and backend infrastructure
  • Expertise in designing robust ML data and evaluation systems
  • Experience improving developer productivity through tooling and platform abstractions

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