Senior Engineering Program Manager, On-Device ML

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$144,600–$263,800 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $227k
This role $204k
$128k most similar roles pay here $302k

This role pays less than 71% of similar roles. Most pay $198,412–$254,750 — the shaded band above. At the midpoint, this role pays about $204k versus about $227k 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 2305 open roles on FindRole.

Listed pay typically runs $175,000–$280,000 across 1873 roles with salary data.

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At a glance

TL;DR · Senior Engineering Program Manager, On-Device ML

Senior Engineering Program Manager, On-Device ML joins the On-Device Machine Learning team within Graphics, Games, and Machine Learning software. This role focuses on driving high-performance machine learning frameworks and operating system features to simplify how developers adopt and accelerate machine learning across various products and ecosystems. The manager will build and maintain complex software platforms, tools, and processes that deliver end-to-end experiences on-device. Key responsibilities include translating business needs into technical roadmaps, managing cross-functional teams, and using data and metrics to drive actions. Required expertise includes experience with machine learning training, inference technologies, data processing pipelines, and high-throughput backend services. The role addresses the research-to-production lifecycle of cutting-edge models integrated with Apple silicon, specifically solving the challenge of executing complex machine-learned features on hardware while ensuring seamless integration for both internal and external developers.

What you'll do

  • Drive the development of high-performance machine learning frameworks and OS features.
  • Manage the research-to-production lifecycle for cutting-edge machine learning models.
  • Build and maintain complex software platforms, tools, and processes for on-device experiences.
  • Translate business partner needs into technical roadmaps and feature requirements.
  • Use data and metrics to back up assumptions and drive project actions.
  • Triage and prioritize cross-functional team tasks in fast-paced, ambiguous environments.
  • Communicate complex technical roadmaps and progress to executive stakeholders.

What we're looking for

  • BS/MS in EE, CS, CE, or a related technical field.
  • 6+ years of experience leading cross-functional teams in product, project, or program development.
  • Proven track record delivering large-scale engineering products involving machine learning, data processing, and analytics tools at Internet scale.
  • Experience with ML training (e.g., train/test, evaluation, measurement) and high-throughput backend services.
  • Ability to translate business needs into technical roadmaps and communicate effectively with executive stakeholders.
  • Ability to use data and metrics to back up assumptions and drive actions.
  • Strong written and verbal communication skills for clear presentation of information.
  • Experience in ML training or inference technologies, using OKRs, or building technical communities (preferred).

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