Machine Learning Engineer

Summary

iPhone is the most popular camera in the world, with billions of photos taken every year. The seamless hardware-software integration consistently pushes mobile photography boundaries. Features like the Photonic Engine, Portrait mode, and Super-high-resolution photos transform moments into magical experiences that delight our customers globally.

The Camera Technologies & Systems team, within Camera & Photos org, delivers unparalleled image and video experiences by innovating at the intersection of state-of-the-art machine learning and computer vision. As a Machine Learning Engineer, you’ll pioneer research and develop groundbreaking generative AI for image enhancement and restoration. Your work will enable new camera capabilities across the Apple ecosystem. Every "Shot on iPhone" billboard showcases our ingenuity; we invite you to join our mission and contribute to a world-renowned visual narrative.

Description

As a Machine Learning Engineer, you will be instrumental in driving the innovation of Apple's next-generation iPhone and iPad camera algorithms. You will identify, research, and develop cutting-edge generative AI-based machine learning models to address complex challenges in camera applications. You will collaborate cross-functionally with GPU optimization and framework teams to seamlessly integrate and deploy these advanced features into production, directly shaping the future of mobile imaging.

Minimum Qualifications

Generative AI Expertise: Strong understanding and practical experience with advanced generative AI architectures, including (but not limited to) diffusion models, Generative Adversarial Networks (GANs), and autoregressive models.
Technical Proficiency: Strong programming skills in Python and deep learning frameworks (e.g., PyTorch).
An MS or PhD in Computer Science, Engineering, or a related technical discipline.

Preferred Qualifications

Advanced Generative AI Applications: practical experience in the design, training, and fine-tuning of complex generative AI architectures, encompassing diffusion models, autoregressive models, GANs, and VLMs.
Computer Vision Foundation: Robust theoretical and practical foundation in core computer vision principles, particularly applied to image and video analysis and processing.
Analytical & Communication Skills: Exceptional analytical problem-solving capabilities and technical communication skills, essential for cross-functional collaboration and presenting complex research.
Proven Research: Publication record in highly selective, peer-reviewed conferences (e.g., CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICML, ICLR)

Pay & Benefits — Cupertino, California, United States

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 $150,400 and $225,300, 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.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.