Machine Learning Manager, Data for Foundation Models - SIML

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$198,300–$342,800 / yr
Posted
8 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $225k
This role $271k
$162k most similar roles pay here $362k

This role pays more than 87% of similar roles. Most pay $198,800–$251,800 — the shaded band above. At the midpoint, this role pays about $271k versus about $225k for comparable roles.

Based on 239 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 1816 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1473 roles with salary data.

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At a glance

TL;DR · Machine Learning Manager, Data for Foundation Models - SIML

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As a Machine Learning Manager at Apple’s Intelligent System Experiences team, you will lead a team of ML engineers focused on advancing Visual Generation foundation models by leveraging billion-scale datasets and cutting-edge AI research. Your day-to-day responsibilities include driving data excellence for model training, collaborating with cross-functional teams such as ML research and responsible AI to ensure high standards of execution and safety, and pioneering experimental ideas tailored for Apple’s ecosystem. The ideal candidate has a strong background in computer science or related fields, extensive experience managing ML projects, and proficiency in modern machine learning frameworks and distributed data processing pipelines. This role requires expertise in generative models, visual generation AI, and the ability to mentor engineers while staying at the forefront of AI research advancements.

Skills

Python TensorFlow PyTorch Docker Kubernetes AWS CI/CD Git PostgreSQL MongoDB Scikit-learn Pandas NumPy Jupyter Hadoop Spark Prometheus Grafana

What you'll do

  • Lead a team of ML engineers to build new capabilities and improve quality for Visual Generation foundation models.
  • Manage cross-functional projects involving ML research, modeling, policy, and responsible AI teams.
  • Apply cutting-edge AI research to enhance data excellence for training foundation models.
  • Execute quality-focused data curation strategies using billion-scale datasets and machine learning models.
  • Stay updated with the latest AI research trends and apply impactful developments in proprietary ways.

What we're looking for

  • M.S. or PhD in Computer Science or related technical field
  • 3+ years of experience as an ML Manager leading teams in computer vision and generative AI
  • Extensive hands-on experience training state-of-the-art generative models (8+ years)
  • Proficiency in machine learning frameworks and distributed data processing pipelines
  • Strong track record in managing cross-functional projects and mentoring engineers
  • Excellent communication skills to drive clarity in ambiguous situations

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