Audio Algorithm Architect, Applied Research

Job description

Minimum qualifications: - Bachelor’s degree in Machine Learning, Electrical Engineering, Computer Science, or a related technical field, or equivalent practical experience. - 8 years of experience developing machine learning algorithms specifically for audio applications (e.g., neural noise suppression, acoustic modeling, or speech enhancement). - Experience in algorithm implementation and prototyping using C++ and Python. - Experience with deep learning frameworks such as JAX, TensorFlow, or PyTorch applied to signal processing challenges. Preferred qualifications: - PhD in Machine Learning, Electrical Engineering, Signal Processing, Acoustics, or a related field. - Experience navigating high-ambiguity research environments where the priority is delivering massive user differentiation over a specific method. - Experience in developing foundational elements for agentic audio, such as Open Ear ANC or Superhuman Hearing/Perception. - Ability to operate as the fourth founding member in a lean, high-velocity team, maintaining a "shielded but connected" partnership with core engineering to guide future product execution. - A proven track record of moving theoretical ML-audio research in...