3D Computer Vision Research Engineer, Apple Maps

Apple is where individual imaginations come together to create products,

services, and experiences that enrich people’s lives. At Apple, great ideas

become stronger through collaboration, diverse perspectives, and a shared

commitment to doing our best work. Here, you will do more than join a team — you

will add something meaningful. The 3D Vision team at Apple Maps is looking for

exceptional computer vision and machine learning talent to help build the next

generation of map automation and spatial intelligence technologies. Our team

researches, develops, and deploys algorithms at global scale, working with

extremely large multimodal datasets collected from aerial, satellite, and

ground-based platforms. As part of this team, you will work on challenging

real-world problems in visual understanding, map feature extraction, scene

understanding, and physical-world reasoning. The technologies we build help

create and maintain high-quality map data that powers user-facing Apple Maps

experiences and broader Apple products.

DESCRIPTION

You will join a small, fast-paced team of computer vision and machine learning

experts working on large-scale visual understanding for Apple Maps. This role

focuses on developing models and systems that extract meaningful map features

from real-world imagery and other sensor data. Example areas include object and

feature detection, semantic understanding, attribute prediction, imagery-based

map updates, scene-level reasoning, and multimodal understanding. You will help

develop novel methods that combine machine learning, 3D geometry, multimodal

data, and large-scale systems to solve practical mapping problems at Apple Maps

scale.

MINIMUM QUALIFICATIONS

Strong background in computer vision and machine learning. Hands-on experience

with visual understanding, object detection, segmentation, feature extraction,

scene understanding, or related computer vision problems. Familiarity with 3D

geometry, spatial reasoning, or large-scale geospatial data is a plus. Solid

programming skills. Master’s degree with 2+ years of relevant experience.

PREFERRED QUALIFICATIONS

PhD degree in Computer Vision, Machine Learning, AI, Computer Science,

Electrical Engineering, or a related field. Publications in top-tier CV/ML

conferences, such as CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, or related

venues. Experience with vision-language models, multimodal LLMs, reasoning

models, or generative image/video models is a plus. Experience building ML

systems for large-scale real-world visual data. Knowledge of 3D geometry,

geospatial data, or computer graphics fundamentals is a plus. Strong C/C++ and

Python programming skills.