Lead Machine Learning Engineer, Human Sensing

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $175,000–$308,500 / yr
Posted: 14 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $231k

This role $242k

$159k most similar roles pay here $325k

This role pays more than 66% of similar roles. Most pay $207,800–$254,750 — the shaded band above. At the midpoint, this role pays about $242k versus about $231k 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 2925 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2305 roles with salary data.

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At a glance

TL;DR · Lead Machine Learning Engineer, Human Sensing

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Lead Machine Learning Engineer, Human Sensing joins the Human and Object Understanding team within the Intelligent System Experience organization. This role serves as a technical lead responsible for driving the roadmap of multimodal human sensing models, including face and full body perception. You will translate product goals into scoped projects, define data collection strategies, establish evaluation frameworks, and conduct deep failure analysis to improve model robustness. The work focuses on building foundation models for identity recognition and human perception across various device experiences. Key technical requirements include expertise in computer vision, Python, and PyTorch. You will also perform model optimizations for on-device performance, manage core codebases, and mentor engineers. The role addresses complex challenges in face recognition, biometrics, and visual human sensing to power features like Apple Intelligence and Camera.

Skills

Computer Vision Machine Learning Python PyTorch Foundation Models Vision-Language Models (VLMs) Large Language Models (LLMs) Core ML Quantization Knowledge Distillation Model Optimization Active Learning Natural Language Understanding

What you'll do

Translate high-level product ambitions into scoped machine learning programs with defined milestones and KPI targets.
Define data collection, annotation, and curation strategies to eliminate model blind spots and address edge cases.
Architect and lead the core evaluation framework, including custom metrics and automated diagnostic tools.
Conduct deep failure mode analysis and root-cause investigations to drive targeted model iterations.
Drive model optimization for on-device performance in collaboration with integration teams.
Maintain high codebase health through rigorous pull request reviews and repository stewardship.
Mentor junior and mid-level engineers while communicating technical strategy to senior leadership.

What we're looking for

Master's or Ph.D. in Computer Science, Computer Engineering, or a related field (or equivalent practical experience).
6+ years of industry experience in Computer Vision and Machine Learning.
Proven experience in a Technical Lead or Staff-level role driving project scoping, setting KPIs, and leading cross-functional initiatives.
Strong expertise in evaluating complex ML systems, defining benchmarking methodologies, and conducting deep-dive failure analysis.
Demonstrated ability to coordinate engineering teams, mentor peers, and partner with management on roadmap execution.
Deep proficiency in Python and PyTorch with experience authoring clean code and managing shared repositories.
Domain knowledge in face recognition, identity re-identification, biometrics, or visual human sensing (preferred).
Experience with on-device model optimization, foundation models, or large-scale vision-language models (preferred).

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