Principal Engineer Ai/ml - Audio Reasoning (lorenz Labs)

Analog Devices Foundation

San Jose, CA, US
Base: $170,775 to $256,163; bonus/equity: discreti...
On-site
Ultra low-latency audio and speech enhancement models
Deep learning models for speech enhancement
Prototype models in python (pytorch/tensorflow)
Lorenz Labs is pioneering the frontier of Physical Intelligence—developing foundation models and agentic systems that can reason about the physical world

Job Summary

  • Lorenz Labs is pioneering the frontier of Physical Intelligence—developing foundation models and agentic systems that can reason about the physical world.
  • Build and evaluate deep learning models for speech enhancement, noise suppression, separation, dereverberation, and classification.
  • At Analog Devices, you'll be part of a collaborative and innovative team that's shaping the future of technology.

Matching Summary

Lorenz Labs is pioneering the frontier of Physical Intelligence—developing foundation models and agentic systems that can reason about the physical world.

Salary

Base: $170,775 to $256,163; Bonus/Equity: discretionary performance-based bonus; Benefits: medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time

Skills & Requirements

Must-have

  • ultra low-latency audio and speech enhancement models
  • deep learning models for speech enhancement
  • prototype models in Python (PyTorch/TensorFlow)
  • optimize models for embedded/mobile deployment
  • audio foundation models
  • audio tokenization & representation learning
  • audio models that reason with language models
  • on-device/edge ML (TinyML, quantization)
  • Strong C/C++ for deployment
  • traditional acoustics & audio DSP

Nice-to-have

  • advance audio capture, hearing enhancement
  • real-world device performance
  • data collection, curation, preprocessing, augmentation
  • partner with acoustics engineers
  • lab measurements, testing, performance benchmarking
  • document model design decisions and results
  • interdisciplinary background across EE, CS, signal processing, ML

Key Requirements

  • PhD or research-heavy background
  • First-author publications in audio ML / audio-language modeling
  • Experience in research labs or audio industry

Work Rights

Not specified

Tailored Resume

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