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Are you passionate about building groundbreaking camera technologies that enrich the lives of billions? Apple's Camera Algorithms team develops the foundational technologies that define the photographic and cinematic experience for our users. We are the architects behind the image and video processing pipelines that bring every photo and video to life on all Apple products. We are seeking exceptional Generative AI engineers who share our passion for pushing the boundaries of computational photography and video! In this role, you will have the unique opportunity to leverage Apple's industry-leading hardware, including the Apple Neural Engine and our custom Image Signal Processor (ISP), to create features that redefine what's possible with a camera.

Description

As a member of our team, you will be at the heart of the innovation cycle, driving the future of Apple's camera capabilities. Your work will involve deep, multi-functional collaboration to deliver features that are seamlessly integrated and optimized.","responsibilities":"Design, train, fine-tune, and deploy generative models to solve practical challenges in image and video processing.

Collaborate with product and design teams to conceptualize and define new camera features powered by AI.

Partner with hardware, software, and firmware engineers to prototype, integrate, and optimize your algorithms for Apple's unique silicon.

Engage directly with our silicon engineering teams to perform low-level neural network optimizations and influence future hardware design.

Drive projects from initial concept and research through to final integration and shipment in a future Apple product.

Preferred Qualifications

Proven track record of innovation in Generative AI for image/video processing (e.g., Text-to-Image, Text-to-Video or Video-to-Video), demonstrated through shipped products or publications at top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, etc).

Strong problem-solving, critical thinking, and communication skills.

Experience as a key contributor to one industry-leading image/video generation model is a plus.

Familiarity with camera sensors and ISP algorithms is a plus.

Experience driving technologies from early-stage prototypes to polished, production-ready products is a plus.

Minimum Qualifications

BS and a minimum of 3 years of relevant industry experience

Deep understanding of and hands-on experience with modern Generative AI models (e.g., GANs, VAEs, Diffusion Models, Transformers) and fine-tuning techniques (e.g., LoRA, DPO).

Proficiency in ML frameworks such as PyTorch.

Strong programming skills in Python and/or C++.

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 $150,400 and $277,600, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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