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Apple

Machine Learning Research Engineer, Audio R&D

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Cambridge, Massachusetts, United States

5 months ago
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Job Description

Description

Description
As part of the audio team, you will: Develop machine learning model architectures for solving various problems in audio, including sound event detection, scene classification and context understanding. Train, fine tune and compress models for production Contribute to the team’s workflows building pipelines, writing datasets, and creating evaluation frameworks Participate in cross-functional teams developing features and shipping products Create intellectual property in the form of patents and publications

Minimum Qualifications

Minimum Qualifications
  • Practical and theoretical knowledge of machine learning architecture design and training/testing methodologies.
  • Experience building machine learning pipelines
  • Excellent software architecture and programming skills in Python, C, C++
  • Knowledge of audio technologies
  • MS, in CS or EE, industry and research experience

Key Qualifications

Key Qualifications

Preferred Qualifications

Preferred Qualifications
  • Proven experience in machine learning development, including audio and speech applications.
  • Experience optimizing and compressing machine learning models for resource constrained platforms.
  • Familiarity and experience with multimodal large language models (LLMs)
  • Demonstrated innovation in machine learning (patents, publications)
  • Fundamentals of audio and speech signal processing

Education & Experience

Education & Experience

Additional Requirements

Additional Requirements

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  • 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.

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