Data Scientist, Machine Learning

Imagine what you could do at Apple! The Audio Media Technologies (AMT) group is at the center of audio, video, and graphics in Apple's innovative products. We're seeking an experienced Data Scientist to join our Audio Technology team, focusing on developing and optimizing audio experiences across our portfolio of consumer electronics.

You'll work at the intersection of audio engineering, machine learning, and user experience, analyzing complex datasets to drive improvements in sound quality, noise cancellation, voice recognition, and acoustic performance. The role involves working with large, complex, non-relational datasets to conduct end-to-end analysis, prototyping and productionalizing analytical pipelines, and developing comprehensive knowledge of audio data structures.

Key responsibilities include:

• Conducting end-to-end analysis including problem definition, data gathering, exploratory analysis, and hypothesis testing
• Building and maintaining audio analytics dashboards
• Developing ML solutions for audio and voice applications
• Collaborating with engineers and product managers to assess improvements
• Working with large telemetry datasets using Python, SQL, and ML frameworks
• Providing data-driven insights to improve audio products

This is an opportunity to impact user experiences across Apple's entire product line while working with cutting-edge audio and ML technologies. You'll be part of a team driving innovation in features like Adaptive Noise Control, Conversation Awareness, FaceTime, Siri, and media playback.

The role offers competitive compensation, comprehensive benefits, and the chance to work on products used by millions. Join us in shaping the future of audio experiences at Apple.