Sr Machine Learning Manager, Intelligent System Experience

Apple Inc

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$262,500–$433,400 / yr
Posted
88 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $225k
This role $348k
$151k most similar roles pay here $464k

This role pays more than 98% of similar roles. Most pay $197,925–$251,750 — the shaded band above. At the midpoint, this role pays about $348k versus about $225k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Sr Machine Learning Manager, Intelligent System Experience

As a Senior Machine Learning Manager on the Apple Intelligence Platform team, you will lead a team of engineers responsible for building critical platform infrastructure and APIs that power features used by millions daily. Your role involves translating research innovations into shippable, scalable systems, ensuring they meet Apple's high standards for performance, reliability, scalability, privacy, and user experience. You will work cross-functionally with researchers, product teams, and platform engineers to establish engineering excellence through rigorous software architecture standards, testing practices, and operational rigor. The position requires deep expertise in ML fundamentals such as neural networks, transformers, and inference optimization, along with strong skills in systems design, API architecture, and distributed systems. You will also guide the development of APIs for complex multi-step ML systems and mentor engineers on best practices for production software and platform engineering.

What you'll do

  • Lead a team of platform engineers to build ML infrastructure and APIs for Apple Intelligence features.
  • Translate research innovations into shippable, scalable software systems that meet performance and reliability standards.
  • Make large-scale architectural decisions to support modern ML techniques in production environments.
  • Guide the development of APIs and frameworks for complex multi-step ML systems and agentic workflows.
  • Establish engineering excellence through rigorous software architecture standards and operational practices.

What we're looking for

  • 8+ years of ML platform engineering or related experience with at least 3 years in technical leadership
  • Deep understanding of neural network architectures, transformers, attention mechanisms, and inference optimization
  • Strong software engineering fundamentals including systems design, API architecture, and distributed systems expertise
  • Proven track record of building and shipping production ML APIs, platforms, or infrastructure at scale
  • Hands-on experience with ML frameworks (PyTorch, TensorFlow, JAX), serving systems, and production deployment
  • Experience leading engineering teams and delivering complex ML platform projects from conception to production
  • Strong architectural skills for large-scale, high-performance ML systems and ability to make informed technical decisions

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