CV​/ML Algorithm Optimization Engineer - 3D Imaging

CV/ML Algorithm Optimization Engineer - 3D Imaging

At Apple, we’re on the cutting edge of delivering transformative experiences. If you are passionate about pushing the limits of CV/ML and hardware acceleration, then we want you to join our team. 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 Algorithm teams to deliver optimized solutions that brings our vision to life.

We're looking for highly self-motivated and hard-working individual with expertise in optimizing machine learning and computer vision algorithms that run on ANE, GPU and CPU to join our team to deliver new technologies and experiences for Apple’s current and next generation products. Are you ready to be a part of the next big thing at Apple?

Work on 3D algorithms implementation and performance optimization for Apple platforms. Analyze ML network bottleneck in the mainstream neural processor/GPU/CPU. Collaborate with ML network compiler team and hardware architecture team for both short term on-device ML model optimization and long term hardware design strategy. Translate research ideas into production‑quality systems and integrations. Mentor and guide emerging and mid-level engineers, sharing your expertise to foster their growth in system software technologies and ensuring high standards of code quality, innovation, and efficiency.

Cultivate a culture of learning and collaboration, encouraging innovation, and supporting engineers in their development, with the potential to expand your influence across the organization.

• BS and a minimum of 10 years relevant industry experience
• Proven expertise in software design and architecture, including deep experience with full-stack software design, implementation and optimization.
• Understand software and hardware interfaces.
• High level proficiently in C or C++ and experience working with large, complex software systems and demonstrated ability to ship high-quality production software.

• Master’s or PhD degree in Computer Science, Computer Engineering, or a related field.
• Strong communication skills and ability to collaborate effectively across teams and functions.
• Solid knowledge on computer architecture, neural processor and program optimization.
• Rich experience with popular CNN, Transformer, and Diffusion networks and their energy‑efficient variants for mobile and embedded vision applications.
• Familiar with popular ML toolboxes (PyTorch, Tensor Flow etc.) and their built in techniques for network deployment (Tensor
  
  RT etc.)
• Familiar with ML network optimization techniques, such as quantization, pruning, distillation, low‑rank factorization and compression methods.
• familiar with Apple ML stack (ANE, CoreML, MPS/Metal)
• familiar with 3D computer vision, multi‑view geometry, SfM etc.

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 $171,600 and $302,200, 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 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 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.

Apple accepts applications to this posting on an ongoing basis.