Machine Learning Engineer, Computer Vision

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $150,400–$277,600 / yr
Posted: 1 day ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $222k

This role $214k

$135k $293k

below market most similar roles pay here above market

This role pays more than 54% of similar roles. Most pay $195,150–$249,000 — the blue band above. At the midpoint, this role pays about $214k versus about $222k 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 3499 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2707 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer, Computer Vision

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The Machine Learning Engineer, Computer Vision joins the Machine Learning and AI team to build foundational perception technologies used across various devices. In this role, you will design, train, and improve computer vision and vision-language models for object understanding and recognition. You will turn recent research into production-ready models that handle real-world data while meeting strict on-device constraints for memory, latency, and power. Key responsibilities include defining product-quality evaluations, fixing failure modes, and performing rigorous experimentation with clear baselines and ablations. You must demonstrate proficiency in Python, PyTorch, and generative coding tools. The work involves developing everything from lightweight, task-specific vision models to general-purpose vision-language models to help devices recognize and understand the physical objects surrounding the user.

What does a Machine Learning Engineer earn in California?

Median $231575 from 194 postings across 35 companies.

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Skills

Computer Vision Machine Learning Python PyTorch Vision-Language Models Deep Learning Model Compression Knowledge Distillation Self-Supervised Learning Metric Learning Representation Learning

What you'll do

Design, train, and improve computer vision and vision-language models for object recognition.
Ensure models are robust to real-world conditions and fix failure modes on real data.
Define product-quality evaluations to drive model development decisions.
Optimize models to meet on-device constraints for memory, latency, and power.
Execute end-to-end projects covering data collection, training, and evaluation.
Conduct rigorous experimentation including clear baselines, ablations, and meaningful evaluation sets.
Apply knowledge distillation and model compression techniques for production deployment.

What we're looking for

Ph.D. or Master's in Computer Science, Machine Learning, Computer Vision, or a related field, or equivalent industry experience.
Strong foundations in computer vision and deep learning.
Track record of end-to-end projects covering data, training, and evaluation on real-world visual data.
Proficiency in Python and PyTorch or an equivalent deep learning framework.
Proficiency in using generative coding tools.
Experience with rigorous experimentation, including clear baselines, ablations, and meaningful evaluation sets.
Publications in top computer vision or machine learning venues (CVPR, ICCV, ECCV, NeurIPS, ICLR) (preferred).
Experience in representation learning, knowledge distillation, model compression, or vision-language models (preferred).