Applied Acoustic ML Engineer

A technology company that creates extraordinary products, services, and customer experiences, with a dedicated Acoustics team focused on sound quality.
$143,100 - $214,500
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Consumer

Description For Applied Acoustic ML Engineer

Apple's Acoustics team is seeking an Applied Acoustic ML Engineer to join their elite group of engineers dedicated to creating extraordinary audio experiences. This role sits at the intersection of machine learning and audio technology, focusing on developing and implementing innovative audio features for Apple's product line. The position offers an opportunity to work with cutting-edge technology in audio perception and understanding, developing machine learning models that will shape the future of audio experiences in consumer electronics.

The ideal candidate will bring expertise in both audio signal processing and machine learning, working on everything from data generation to model deployment. You'll be part of a diverse team that works collaboratively across Apple's engineering and product development departments, directly impacting products used by millions globally. The role offers competitive compensation, comprehensive benefits, and the chance to work on high-impact projects at one of the world's most innovative companies.

Key responsibilities include productizing novel audio technologies, developing and deploying ML models, and working on system profiling and performance evaluation. You'll need strong technical skills in Python, PyTorch, and audio signal processing, combined with excellent communication abilities to work effectively with cross-functional teams. The position offers significant growth potential and the opportunity to contribute to Apple's next generation of audio innovations.

This is an ideal role for someone passionate about both audio technology and machine learning, offering the chance to work on cutting-edge projects while enjoying Apple's comprehensive benefits package, including stock options, medical coverage, and educational support. The collaborative environment and focus on innovation make this an exciting opportunity for those looking to make a significant impact in consumer audio technology.

Last updated 14 minutes ago

Responsibilities For Applied Acoustic ML Engineer

  • Productize novel technologies in audio perception and understanding
  • Adapt, develop, and deploy machine learning models for new audio experiences
  • Work on data generation and experience prototyping
  • Perform system profiling and performance evaluation
  • Communicate work across broad cross-functional workgroups

Requirements For Applied Acoustic ML Engineer

Python
  • Advanced degree in Computer Science, Electrical engineering, Acoustics, Signal Processing, Electronics or equivalent field (preferred but not mandatory)
  • Excellent written and verbal communication skills in English
  • 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)
  • Proficiency in modern AI/ML techniques
  • Experience developing audio prototypes using Max
  • Experience shipping high-complexity, high-volume consumer electronics

Benefits For Applied Acoustic ML Engineer

Medical Insurance
Dental Insurance
Equity
Education Budget
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Employee stock programs (RSUs)
  • Employee Stock Purchase Plan with discount
  • Educational expense reimbursement
  • Discretionary bonuses
  • Relocation benefits
  • Product discounts
  • Free services

Interested in this job?

Jobs Related To Apple Applied Acoustic ML Engineer

AIML Sr SW Engineer - SystemRF

Senior AI/ML Engineer position at Apple, focusing on wireless systems optimization using advanced data analysis and machine learning techniques.

AIML - Machine Learning Engineer- Siri and Information Intelligence

Senior Machine Learning Engineer position at Apple, focusing on LLM development and deployment for Siri and Information Intelligence systems.

AIML - ML Engineer, Batch processing team

Senior ML Engineer position at Apple focusing on large-scale foundation model inference and batch processing systems, offering competitive salary and comprehensive benefits.

AIML - ML Engineer, Safety & Red Teaming

Senior ML Engineer role at Apple focusing on AI safety and red teaming for generative models, offering competitive compensation and the opportunity to shape the future of responsible AI development.

Software Engineer, Apple Intelligence Model Orchestration

Senior Software Engineer role at Apple working on machine learning and intelligence integration across Apple platforms, focusing on daemon and framework development for model orchestration.