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Apple AIML - EE ML & Digital Signal Processing Engineer United States, California, Cupertino 613378730
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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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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