Computer Vision/Deep Learning Algorithms Engineer

Apple Inc.
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Job Description

Do you have a passion for computer vision and deep learning problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! The Video Computer Vision org is a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We balance research and product to deliver Apple quality, state-of-the-art experiences, innovating through the full stack, and partnering with HW, SW and ML teams to influence the sensor and silicon roadmap that brings our vision to life.

Key Qualifications

  • Extensive knowledge in deep learning and computer vision techniques
  • Strong fundamentals in 3D geometry and geometric computer vision
  • Solid C++ and Python skills
  • Understanding of deep learning frameworks and workflow
  • Experience in working with large data sets and improving infrastructure pipelines
  • Creativity and curiosity for solving highly complex problems
  • Excellent communication and collaboration skills
  • Great to have: knowledge and experience in temporal reasoning and representation

Description

We work on complex problems in computer vision that require robust, efficient, well tested, and clean solutions. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in a unique team where your skills and expertise can be used to influence future user experiences and hardware that will be used by millions.

Education & Experience

  • MS in Computer Science, Electrical Engineering, Robotics, Physics, Applied Mathematics or related fields, with 5 years industry experience or a PhD degree with equivalent industry experience.

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 $130,000 and $242,000, 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.

Company Info.

Apple Inc.

Headquartered in Cupertino, California, Apple Inc. is a multinational technology company that focuses on producing consumer electronics, software, and online services. It holds the distinction of being the world's largest technology company by revenue and the world's biggest company by market capitalization as of June 2022. Apple is the second-largest mobile phone manufacturer and the fourth-largest personal computer vendor by unit sales.

  • Industry
    Computer software,Consumer electronics
  • No. of Employees
    154,000
  • Location
    1 Apple Park Way, Cupertino, California 95014, USA
  • Website
  • Jobs Posted

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Apple Inc. is currently hiring Computer Vision Engineer Jobs in Cupertino, CA, USA with average base salary of $130,000 - $242,000 / Year.

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