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Technical Screening: Short answer questions (30 minutes) covering topics such as: Signal transformation techniques Handling high dynamic range signals Building robust ML models with limited data Preprocessing high-frequency signals for deep learning Coding Challenge: Practical coding exercise focusing on one of the following areas: Signal smoothing and noise reduction Feature extraction from time-series data Spectral decomposition Denoising using autoencoders Signal segmentation In-depth Technical Interview: Discussion with the hiring manager, Ben Nashman, or other senior technical staff. Deep dive into experience with DSP, ML, and MRI/MRS technologies. Questions about leadership experience and approach to team management.
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Senior DSP/ML Engineer

Interviewed at Synex Medical

5★
Aug 15, 2024

Technical Screening: Short answer questions (30 minutes) covering topics such as: Signal transformation techniques Handling high dynamic range signals Building robust ML models with limited data Preprocessing high-frequency signals for deep learning Coding Challenge: Practical coding exercise focusing on one of the following areas: Signal smoothing and noise reduction Feature extraction from time-series data Spectral decomposition Denoising using autoencoders Signal segmentation In-depth Technical Interview: Discussion with the hiring manager, Ben Nashman, or other senior technical staff. Deep dive into experience with DSP, ML, and MRI/MRS technologies. Questions about leadership experience and approach to team management.

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