Machine Learning Engineer

Do you love taking on big challenges that require exceptionally creative solutions?

The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team, you will play a vital role in prototyping foundational machine learning tools that bridge the camera hardware and software, in order to build flawless camera technology innovations and experiences that we are known worldwide.

Description

In this role, you will innovate foundational machine learning algorithms for computational photography and computer vision, to research, design and qualify novel cameras and sensors for future Apple products, in collaboration with a wide spectrum of top engineers across Apple.","responsibilities":"Design, train and tune machine learning algorithms, support camera architects to drive innovative solutions for imaging and sensing challenges, and provide data-driven feedback for future camera architectures across a wide spectrum of Apple products.

Work closely with cross functional teams to build computational imaging and machine learning prototypes for future Apple products that enable novel photography experiences.

Build differentiable simulation and physics-informed machine learning pipelines to analyze and improve cameras and sensors.

Ground the exploration via validated simulation and metrology results to avoid machine learning domain gaps and ensure production feasibility.

Preferred Qualifications

MS/PhD in computer vision, electrical, optical or computer engineering or related fields.

Experience or strong personal curiosity with designing imaging and sensing systems.

Strong independent problem-solving and communication skills.

Solid understanding of machine learning, deep learning fundamentals and optimizations; practical expertise in designing, training and improving deep neural networks.

Experience with cutting edge computer vision and machine learning research trends and models.

Experience with two or more of the following: ISP (image signal processing), 3A (AE, AF, AWB), diffusion models, multi-modal, generative AI, sensor fusion, sensor physics, differentiable rendering, 3D rendering.

Minimum Qualifications

BS in electrical, optical or computer engineering/science, and a minimum of 3 years relevant industry experience

Experience with software coding in Python.

Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.

Experience with Pytorch.

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 .

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.