Acoustics ML & DSP Engineer

What you'll do

• Develop and ship ML and DSP algorithms for the voice audio front end across iOS, macOS, and wireless products.
• Create new speech enhancement algorithms that combine machine learning techniques with traditional digital signal processing.
• Build and extend large-scale data preprocessing, simulation, and cloud training pipelines.
• Tune, optimize, and debug algorithms by tracing issues to data, models, or the signal chain.
• Measure the effects of front-end processing on telephony quality and machine listening applications.
• Perform objective metrics and subjective listening tests to evaluate speech quality and echo performance.
• Prototype real-time audio systems using Max/MSP and Python.
• Implement causal, streaming models that operate under strict real-time latency and compute constraints.

What we're looking for

• MS with 3+ years of relevant experience, or a PhD, in Acoustics, Audio, Electrical Engineering, Computer Science, or a related field.
• Solid grasp of acoustics and signal processing fundamentals.
• Experience shipping audio or speech enhancement ML algorithms from prototype to production.
• Proficiency with PyTorch and Python, including version control, testing, and reproducible experiments.
• Working knowledge of Max/MSP for real-time audio prototyping.
• Experience with causal, streaming models under real-time latency and compute constraints.
• Experience using and building large-scale data and cloud training pipelines, including preprocessing and data simulation.
• Working knowledge of speech quality evaluation, including objective metrics, telephony quality, and subjective listening tests.