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Apple

Camera Machine Learning Engineer

  • +3
  • +3
  • US
    California, United States
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  • +3
  • +3
  • US
    California, United States

Über

Camera Machine Learning Engineer

Cupertino,California,United States

Hardware

Do you love taking on big challenges that require exceptionally creative solutions? Do you deeply understand how an incredible camera experience should work? As part of our group, you’ll help design the innovative technology that allows each generation of Apple products to produce photos even more incredible than the last. You’ll design and develop groundbreaking ideas for everything involved in our camera systems, from sensor to lens. You’ll collaborate with teams across Apple to research, design, develop, test, and qualify camera hardware for Apple products. Together, we’ll craft a magical photography experience that redefines what millions of customers can expect from their cameras. With the rapid growth of Machine Learning, supported by the fastest mobile chips in the world, cameras can capture photos and videos that are better than ever, surpassing what could be foreseen from hardware improvement, just a few years ago. These new software technologies also provide camera systems with better understanding of the surrounding world, opening a new, widely uncharted, realm of possibilities, for instance different ways to capture, represent or edit memories, or new abilities to create content for applications.

Description

As a team member of an incubation team, you will develop future feature ideas into proofs of concept and prototypes, and then contribute to transform them into products that will surprise and delight millions of customers all over the world. In particular, you'll take on the challenge of applying innovating machine learning solutions to enhance the video experience on our devices, and finding the right trade-off between quality and performance on very power constrained devices. You'll work with hardware and software teams to optimize the end to end data flow, and identify blocks that can be reused and accelerated by hardware customization. The ideal candidate is self-motivated, an excellent problem solver, and a faster learner. You are comfortable working in a dynamic multi-functional environment, quick to establish relationships and comfortable with changes and ambiguities. You will bring software expertise to a highly interdisciplinary team, and work with many dedicated engineers to build high-quality features in Apple products.

Minimum Qualifications

BS with relevant industry experience.

Development experience in image or video processing.

Experience on CV/ML development framework.

Key Qualifications

Preferred Qualifications

Experience in specifying and creating datasets for a particular task.

Excellent written skills for clear reporting of data analysis and conclusions.

Demonstrated ability in taking initiative to solve problems without explicit directions, and delivering results under tight engineering schedules.

Self-driven and passionate for camera technologies, as well as prototyping and productization.

Ability to learn quickly and become familiar with multiple technology areas.

Education & Experience

Additional Requirements

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 $143,100 and $264,200, 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 (https://www.apple.com/careers/us/benefits.html) 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 take affirmative action to ensure 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

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Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Wünschenswerte Fähigkeiten

  • Machine Learning
  • Image Processing
  • Computer Vision
  • California, United States

Berufserfahrung

  • Embedded
  • Machine Learning
  • Computer Vision

Sprachkenntnisse

  • English