Apple
Acoustics ML & DSP Engineer
$135K–$250K
Boulder, Colorado · Full-time · Posted Oct 23, 2026
- Experience
- MS with 3+ years of relevant experience, or PhD.
- Education
- MS or PhD in Acoustics, Audio, Electrical Engineering, Computer Science, or a related field.
About the job
Develop, tune, and ship machine-learning and DSP speech enhancement algorithms for voice processing across Apple devices and products.
What you'll do
- Take speech enhancement algorithms from prototyping through on-device testing and production.
- Build and extend data preprocessing, simulation, and cloud training pipelines; evaluate and debug algorithm performance.
- Improve voice quality and intelligibility in challenging conditions and collaborate with audio, hardware, and software teams.
What they ask for
- MS with 3+ years of relevant experience, or PhD, in Acoustics, Audio, Electrical Engineering, Computer Science, or a related field.
- Experience shipping audio or speech enhancement ML algorithms from prototype to production; experience with causal streaming models under real-time constraints.
- Proficiency with PyTorch and Python, including version control, testing, and reproducible experiments; working knowledge of Max/MSP.
- Solid acoustics and signal processing fundamentals, plus experience with large-scale data and cloud training pipelines and speech quality evaluation.
Nice to have
- Audio DSP experience, including echo handling, microphone array processing, beam-forming, dynamics processing, EQ, or noise suppression; experience with hybrid signal-processing and ML systems.
- Familiarity with telephony voice quality requirements, speech recognition front ends, multi-modal ML, C/C++, MATLAB, or transducers.
Pay
$134,700 and $249,500 (base salary)
Tools
PyTorch, Python, Max/MSP, C/C++, MATLAB
AI focus
Develop and productionize ML-based speech enhancement, including hybrid ML and DSP algorithms for clear calls and reliable voice recognition.
Model-written summary · the original posting is authoritative