Manager, Machine Learning Research - SIML, ISE

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$198,300–$298,100 / yr
Posted
69 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $228k
This role $248k
$167k most similar roles pay here $312k

This role pays more than 66% of similar roles. Most pay $198,800–$256,212 — the shaded band above. At the midpoint, this role pays about $248k versus about $228k 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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View all roles at Apple Inc

At a glance

TL;DR · Manager, Machine Learning Research - SIML, ISE

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The Human and Object Understanding (HOUr) team at Apple seeks a Manager of Machine Learning Research to lead advanced face analysis technologies. This senior role involves guiding a team of ML experts in transforming research into impactful production solutions through extensive cross-functional collaboration with various teams including software engineers, hardware designers, and researchers. Key responsibilities include designing, implementing, and deploying state-of-the-art face analysis technologies such as facial attributes understanding, liveness detection, and eye tracking, while ensuring quality, fairness, and robustness. The ideal candidate possesses a Master's or Ph.D. in Computer Science, extensive experience with large-scale foundation models like PyTorch, and strong programming skills in Python and C++. Experience in transitioning prototypes to shipping products on resource-constrained platforms is preferred, as well as a track record of technical leadership and impactful industry contributions.

Skills

Python PyTorch C++ Large Scale Foundation Models Multi-modal LLMs Vision-Language Models Computer Vision Machine Learning Deep Learning Frameworks CI/CD

What you'll do

  • Lead an ML team in designing, implementing, and deploying advanced face analysis technologies.
  • Translate product requirements from cross-functional stakeholders into actionable plans for ML research.
  • Communicate results and insights to partners and senior leaders with clear recommendations.
  • Stay updated on the latest trends and methodologies in computer vision and large-scale models.
  • Mentor and guide fellow practitioners while contributing to the company's ML community.

What we're looking for

  • Master's or Ph.D. in Computer Science, Engineering, or related field.
  • Proven leadership in applied ML research with extensive industry experience.
  • Expertise in large-scale foundation models and their adaptation for perception tasks.
  • Strong programming skills in Python, C++, and deep learning frameworks like PyTorch.
  • Ability to lead cross-functional teams and translate product requirements into actionable plans.
  • Experience ensuring model robustness, fairness, and efficient deployment on resource-constrained platforms.

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