CVML Engineer, 3D Reconstruction

Apple Inc

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $216,200–$324,800 / yr
Posted: 105 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 $204k

This role $270k

$129k most similar roles pay here $346k

This role pays more than 94% of similar roles. Most pay $165,000–$242,212 — the shaded band above. At the midpoint, this role pays about $270k versus about $204k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · CVML Engineer, 3D Reconstruction

Role Posting Log in to save

The CVML Engineer - 3D Reconstruction joins the Video Computer Vision team to develop advanced machine learning and graphics algorithms for human understanding and geometric reasoning. In this role, you will research, adapt, and implement state-of-the-art 3D and 4D reconstruction algorithms specifically for geometry-driven health and fitness applications. You will design novel approaches combining classical geometry with modern deep learning to produce high-quality ground truth data and develop robust runtime algorithms optimized for Apple silicon and mobile devices. The role requires expertise in multi-view geometry, differentiable optimization, and geometric deep learning. Key technical skills include proficiency in Python, PyTorch, and C/C++, alongside a strong mathematical foundation in linear algebra and optimization. You will also utilize knowledge of SLAM, bundle adjustment, and photogrammetric reconstruction techniques to solve complex 3D problems for on-device deployment.

Skills

3D Reconstruction 4D Reconstruction Computer Vision Machine Learning PyTorch Python C++ Multi-view Geometry Geometric Deep Learning SLAM Bundle Adjustment Linear Algebra Optimization Geometry Processing Mobile Deployment Apple Silicon

What you'll do

Research and implement state-of-the-art 3D and 4D reconstruction algorithms for human understanding.
Develop geometry-driven health and fitness features using multi-view geometry and machine learning.
Combine classical geometry with deep learning to generate high-quality ground truth data for training.
Create robust runtime algorithms specifically designed for on-device deployment.
Optimize production-ready code for Apple silicon and mobile device environments.
Define technical requirements and validation frameworks in collaboration with cross-functional teams.

What we're looking for

BS degree in Computer Vision, Machine Learning, Computer Graphics, or a related field.
Minimum of 10 years of relevant industry experience.
Deep understanding of multi-view geometry and 3D reconstruction pipelines.
Strong proficiency in Python and PyTorch with solid software engineering practices.
Solid mathematical foundation in linear algebra, optimization, and geometry processing.
Experience with modern ML architectures applied to 3D problems.
Proficiency in C/C++.
Experience optimizing ML models for mobile deployment and resource-constrained environments.

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