Machine Learning 3D Reconstruction Engineer

Machine Learning 3D Reconstruction Engineer

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.

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  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. 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.
• Solid mathematical foundation in linear algebra.
• Experience developing user-facing APIs for complex systems.
• 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.

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 $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…