AI Engineering Manager - GenAI Platform , Infra & AIOps

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$228,100–$342,800 / yr
Posted
21 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $212k
This role $285k
$157k most similar roles pay here $363k

This role pays more than 90% of similar roles. Most pay $177,900–$246,150 — the shaded band above. At the midpoint, this role pays about $285k versus about $212k 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 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 roles with salary data.

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View all roles at Apple Inc

At a glance

TL;DR · AI Engineering Manager - GenAI Platform , Infra & AIOps

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As an AI Engineering Manager at Apple, you will lead a global team of Machine Learning Engineers in developing next-generation AIML Platforms, Infrastructure, and AIOps for Channel Sales. Your day-to-day responsibilities include mentoring your team, fostering innovation, and driving the vision and execution of cutting-edge AI solutions that leverage generative models to enhance user experiences across various product lines. You will collaborate with cross-functional teams including business SMEs, data scientists, designers, and researchers to create breakthrough products. Essential skills for this role include extensive experience in Machine Learning and Software Engineering, strong Python coding abilities, and the ability to communicate effectively with diverse stakeholders. The ideal candidate has a background in leading large-scale AI projects and possesses a Master’s degree in Computer Science or a related field.

Skills

Python Kubernetes Terraform AWS CI/CD PostgreSQL Docker Prometheus Grafana GitLab Jenkins

What you'll do

  • Lead and mentor a global team of Machine Learning Engineers.
  • Build processes and onboard tools for effective resource planning.
  • Identify issues, manage risks, and re-plan as needed proactively.
  • Set clear engineering goals and priorities for the AIML Platform.
  • Define key performance indicators (KPIs) to measure AI product performance.

What we're looking for

  • 10+ years of experience in Machine Learning and Software Engineering with successful product launches.
  • 5+ years of leadership in ML, Infra, and AIOps teams with direct report management.
  • Track record of full lifecycle involvement in GenAI/LLM products from research to launch.
  • Strong verbal and written communication skills for diverse audiences.
  • Experience leading cross-functional initiatives impacting product direction.
  • Master’s degree in Computer Science, AI, Machine Learning or related field.
  • Proven ability to develop compelling documentation and presentations.

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