Audio Signal Processing and Machine Learning Research Engineer

4 weeks ago


Cupertino, California, United States Apple Full time

At Apple, we're looking for a highly skilled Research Engineer to join our Audio Algorithms team. As a member of this team, you'll work together with other researchers to develop novel signal processing and machine learning technologies for audio processing.

As a Research Engineer, you'll research, implement, and optimize these features on Apple's products, pushing the state of the art in communication technology. You'll collaborate with multiple teams across product development, Acoustics, Audio Software, and others to integrate your ideas into products and build future technologies that will impact billions of Apple customers.

Key qualifications for this role include research experience in audio algorithm development using signal processing and/or machine learning, hands-on experience with developing audio algorithms from initial concept to shipping solution, and fluency in C++, Python, common software engineering practices, and version control.

Additionally, a MS/PhD in Computer Science or Electrical Engineering is preferred. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role.

The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs.

Benefits include comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for certain educational expenses. This role might be eligible for discretionary bonuses or commission payments as well as relocation.

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.



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