Machine Learning 3D Reconstruction Engineer

Apple Inc.; Sunnyvale (CA); On-site; USD 185,000 - 325,000; Full time

Job summary

Apple Inc. in Sunnyvale, California, seeks a skilled Machine Learning 3D Reconstruction Engineer to design and implement 3D reconstruction algorithms for ground-truth data pipelines powering ML models in Apple products.

You will work with experts in computer graphics, computer vision and ML to translate prototypes into production, shaping future Apple technologies and enabling new AI capabilities across devices.

Qualifications

• BA degree in computer science, computer graphics, computer vision or related field.
• 5+ years of relevant industry experience.
• Strong proficiency in C/C++ or Python, writing clean and well-structured code.
• Strong knowledge of 3D graphics and geometry processing.
• Strong understanding of data structures and algorithms.

Responsibilities

• Lead efforts to adapt state-of-the-art algorithms and design new reconstruction methods.
• Develop core API for ML engineers to work with ground-truth data at scale.
• Deliver clean, modular, testable algorithm code.
• Communicate effectively with cross-functional partners.
• Be highly motivated, take initiative and meet deadlines.
• Possess curiosity and willingness to learn.

Skills

C/C++

Python

3D graphics

Geometry processing

Data structures & algorithms

Education

Bachelor's degree in computer science, computer graphics, or related field

Master's or PhD preferred

Job description

Machine Learning 3D Reconstruction Engineer

Sunnyvale, California, United States Machine Learning and AI

The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and implement 3D reconstruction algorithms that power large-scale ground-truth data pipelines and bring high impact to millions of users.

Description

We are looking for a skilled 3D reconstruction engineer, with a strong background in computer graphics, particularly geometric algorithms and 3D reconstruction. In this role, you will design, implement, benchmark, and optimize algorithms for ambitious real-world problems in human reconstruction, producing the ground-truth data used to train and ship ML models in Apple products. You will both develop new reconstruction algorithms and build the core APIs that let ML engineers apply them at scale. You will work in a small and dynamic team to take algorithms from prototype to production, contributing directly to upcoming Apple products. Your contributions won't just support algorithm development; they'll directly shape product direction, unlock entirely new AI/ML capabilities, and define what's possible at Apple.

Responsibilities

• Lead efforts to adapt state-of-the-art algorithms, as well as design and implement new algorithms to solve challenging ground-truth reconstruction problems.
• Develop core API for improving how ML engineers work with ground-truth data at scale.
• Take a practical approach to problem solving and adapt to an evolving environment.
• Deliver clean, modular, testable algorithm code.
• Communicate and work effectively with cross-functional partners.
• The ideal candidate should possess these qualities:
• Be highly-motivated and take initiative to achieve goals, while delivering on schedule. 2) Have a sense of curiosity and willingness to learn.

Minimum Qualifications

• BA degree in computer science, computer graphics, computer vision or related field.-
• 5+ years of relevant industry experience.
• Strong proficiency in C/C++ or Python, writing clean and well-structured code.
• Strong knowledge of 3D graphics and geometry processing.
• Strong understanding of data structures and algorithms.

Preferred Qualifications

• MS or PhD in computer graphics, computer vision, computer science, computer engineering, machine learning or related fields.
• Proficiency in both C/C++ and Python.
• Experience with computer vision algorithms.
• Understanding of SW/HW parallelism, threads, processes and asynchronous processing.
• Excellent communication and experience working with multi-functional teams.
• Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule.
• Passion for delivering high quality software to end-users.

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 $184,700 and $324,800, 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

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.