Acoustic Data Scientist


Job Overview

Key Qualifications

  • Deep understanding of acoustic simulation technologies: Geometric and Wave-Based methods is a must. Experience developing and implementing acoustic simulation methods from scratch is a strong plus.
  • Strong knowledge of physical acoustics and room acoustics
  • Strong data processing and analysis skills using Matlab and Python
  • Deep understanding of digital audio signal processing (DSP) fundamentals
  • Familiarity with spatial audio technologies would be a benefit
  • Understanding of speech processing techniques such as noise suppression, beamforming would be a benefit
  • Experience with deep learning frameworks such as Keras/TensorFlow, PyTorch as well as cloud computing services would be a benefit
  • Ability to communicate findings and ideas to other teams
  • Creativity in problem solving and troubleshooting
  • Ability to effectively use phenomenal communication in a dynamic, multi-functional environment
  • Description

    As part of Apple’s Audio Systems Engineering group, you will have responsibilities that include: – Prototyping audio technologies to prove new opportunities for product and feature development, using specialized hardware as well as machine-learning and traditional audio processing algorithms- Crafting new user experiences in the spatial audio domain- Crafting and running hands-on experiments to quantify performance and feasibility of prototyped concepts- Computing data processing, organization and analysis for review – Analyzing and recommending the signal processing tuning parameters for optimization of performance- Communicating results to multi-functional teams while tackling engineering obstacles

    Education & Experience

    Masters/PhD degree in CS, EE, Acoustics or a related area. In exceptional cases candidates with a BSc and relevant work experience will be considered.

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