 Acoustic ML Application Specialist

Boulder, Colorado, United States


Role Number:200554849
At Apple, extraordinary ideas have a way of quickly becoming extraordinary products, services and customer experiences. Sound is an essential and compelling facet of the customer experience. Apple has assembled an elite Acoustics team that enables our customers to experience music with delight, communicate with clarity, and enjoy elegant sound throughout our product line. In Apple Acoustics we work with the utmost attention to detail, directly impacting the design of products that millions of people around the world love! Our Audio technology team develops and integrates new audio features for Apple’s products. We are a team of diverse engineers coming together to create prototypes of innovative audio technologies and guiding their implementation into Apple’s products. We work openly and collaboratively throughout Apple’s deeply-connected engineering and product development teams. We are looking for an Acoustic ML Application Specialist help to take our products to the next level. Could this be you?


The primary activity of the Acoustic ML Engineer is to develop novel technologies in audio perception and understanding. Activities will include (but not be limited to) audio data acquisition & preprocessing, as well as prototyping & evaluation of ML models for machine hearing applications. You will work with multi-functional teams to optimize and improve algorithms/model accuracy across various Apple hardware and software downstream tasks.

Minimum Qualifications

  • Most of our engineers have advanced degrees in Computer Science, Electrical engineering, Acoustics, Signal Processing, Electronics or an equivalent field, but if you’ve followed a different path to expertise in acoustics or sound quality, we still want to hear from you
  • Excellent written and verbal communication skills in English

Key Qualifications

Preferred Qualifications

  • Good understanding of audio and audio signals
  • Proficiency in Python and PyTorch and/or other ML training frameworks
  • Understanding of audio signal processing (EQ, Dynamic range compression)
  • Experience working in at least one of the application areas of multi-channel audio enhancement, speech enhancement, or Natural Language Processing (NLP)
  • Experience with large-scale training on enterprise scale infrastructure
  • Proficiency in modern AI/ML: self-supervised learning techniques, transformer models as applied to media signals, contrastive learning
  • Experience shipping high-complexity, high-volume consumer electronics

Education & Experience

Additional Requirements

Pay & Benefits

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.