Computer Vision / Machine Learning Engineer - 3D Reconstruction

Sunnyvale, California, United States

Machine Learning and AI

Summary

Posted: Aug 08, 2025

Role Number: 200615492-3956

The Video Computer Vision organization is working on breakthrough technologies for future Apple products. Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that power technologies including human understanding, perception, digital humans, AI agents and health applications. In this role, you will collaborate with world-class experts in AI, ML, Software, and Hardware to tackle fundamental challenges in human-centric solutions that will impact millions of users across Apple's ecosystem.

Description

We are looking a CVML Engineer with deep expertise in multi-view geometry and modern machine learning approaches. In this role, you will research, adapt, and implement state-of-the-art 3D and 4D reconstruction algorithms for human understanding and AI health applications, designing novel approaches that combine classical geometry with modern deep learning techniques. You will collaborate with cross-functional teams to define requirements and validation frameworks. You will deliver production-ready code while driving technical innovation for health and human intelligence applications and optimize algorithms for deployment on Apple silicon on mobile devices. The ideal candidate will demonstrate passion for pushing the boundaries of 3D and 4D computer vision, possess a strong applied research mindset with ability to translate academic innovations into shipping products, bring a collaborative approach to solving complex technical challenges, and maintain commitment to engineering excellence and clean, maintainable code.

Minimum Qualifications

BS and a minimum of 3 years relevant industry experience.

Hands-on experience developing 3D and/or 4D computer vision algorithms and systems.

Proficiency in Python and PyTorch with strong software engineering practices.

Mathematical foundation in linear algebra, optimization and geometry processing.

Preferred Qualifications

MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.

Experience with human-centric 3D and 4D reconstruction approaches, datasets and evaluation methodology.

Deep understanding of multi-view geometry, camera calibration and 3D reconstruction pipelines.

Background in differentiable optimization and geometric deep learning approaches.

Experience optimizing ML models for mobile deployment and resource-constrained environments.

Knowledge of SLAM, bundle adjustment and photogrammetric reconstruction techniques.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. (https://www.apple.com/careers/us/benefits.html)

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.