Computer Vision Research Engineer - Apple Maps 3D Vision Team

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $147,400–$272,100 / yr
Posted: 42 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $220k

This role $210k

$132k most similar roles pay here $287k

This role pays less than 55% of similar roles. Most pay $190,950–$249,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $220k for comparable roles.

Based on 239 similar postings.

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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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Computer Vision Research Engineer - Apple Maps 3D Vision Team

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As part of the 3D Vision team at Apple Maps, you will join a dynamic group of computer vision and machine learning experts to develop groundbreaking technologies that power user-facing products. Your role involves researching and implementing novel methods for solving complex problems in areas like image-based SLAM, structure from motion, bundle adjustment, and 3D reconstruction using large datasets collected by aerial, satellite, and ground platforms. You will need strong skills in computer vision, machine learning, and programming, with experience in 3D geometry challenges such as SLAM and 3D reconstruction. Preferred qualifications include expertise in GPU/graphics languages like CUDA or Metal, solid C/C++/Python coding abilities, and a background in publishing research at top-tier conferences. This role demands a deep curiosity for tackling real-world issues and working within a fast-paced environment to innovate solutions on a global scale.

Skills

ComputerVision MachineLearning SLAM 3DReconstruction Python C++ CUDA OpenGL Metal

What you'll do

Develop novel methods for image and lidar-based SLAM and structure from motion.
Work with large datasets of aerial, satellite, and ground data modalities.
Combine 3D geometry and machine learning to create innovative solutions.
Solve complex real-world problems in computer vision technology.
Research and develop new technologies for Apple Maps products.

What we're looking for

Strong background in Computer Vision and Machine Learning
Experience developing methods for 3D geometry problems like SLAM and 3D reconstruction
Hands-on experience with large datasets from various modalities (aerial, satellite, ground)
Solid programming skills in relevant languages
Master’s degree with at least 2 years of related industry experience

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