AIML - EE, ML, & Digital Signal Processing Engineer, Body-sensing Intelligence Group

At Apple, extraordinary ideas rapidly evolve into groundbreaking products, services, and customer experiences. The ability to understand and interact with the body is a crucial element of the user experience. Apple has established an elite Body-Sensing Intelligence Group (BIG) dedicated to enabling seamless, intuitive, and transformative interactions between people and technology. Within BIG, we approach every detail with precision, shaping innovations that will resonate with people worldwide. BIG is a dynamic collective of highly skilled engineers committed to optimizing Apple devices for peak body-sensing performance across diverse conditions. We are seeking an experienced DSP Engineer to harmonize software with cutting-edge hardware, ensuring exceptional capabilities across iOS and wireless Apple products. Does this sound like you?
As a DSP Engineer in BIG, you will collaborate daily with world-class AIML engineers and cross-functional teams. Exceptional technical communication and teamwork are essential, as this role demands meticulous attention to detail and proficiency in hardware, firmware, and software debugging. You will refine, optimize, and evaluate internally developed algorithms, leveraging advanced techniques to ensure the highest-quality user experience across all Apple devices. You will be at the forefront of developing and maintaining robust tools for analyzing complex time-series data from physiological sensors. You will contribute to the design, implementation, and validation of signal processing algorithms that ensure data integrity, quality, and accuracy, playing a key role in shaping the future of Apple's sensor technologies.
  • Background in signal processing, time series analysis, adaptive filters, machine learning, linear algebra, statistics, etc.
  • Familiarity with digital signal processing (DSP) and signal decomposition techniques, including: Filtering and waveform feature extraction; and Spectral and time-frequency analysis (e.g., Fourier, wavelets, Hilbert transform)
  • Experience with source separation methods (e.g. ICA, PCA, NMF) for isolating and analyzing independent components of complex signals
  • Proven experience contributing to or maintaining scientific software packages, tools and open-source projects
  • Outstanding written and verbal communication skills, ability to work effectively in cross-functional teams
  • Ph.D. in EE or CS (or other STEM fields)
  • In-depth DSP knowledge for biosensor applications, and real-time signal processing
  • Experience with embedded systems and hardware-software integration
  • Excellent coding and debugging skills (Python preferred)
  • Theoretical and practical knowledge of ML techniques
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.

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.

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