Data Scientist - Hardware Acoustics

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

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Learning budget

Not verified

Verification

Not verified checked Jun 13, 2026

Salary

$128K-$233K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

61% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist - Hardware Acoustics Boulder, United States of America The Hardware Acoustic organization at Apple is dedicated to delivering industry-leading audio experiences across all our products. We are a multidisciplinary team of acoustic engineers, researchers, and machine learning experts who push the boundaries of sound quality, noise cancellation, and user interaction. Our Machine Learning Data team is the foundational backbone for these efforts. We are responsible for building the robust data infrastructure, pipelines, and analytical tools that enable the development, training, and evaluation of cutting-edge machine learning models for acoustic applications. We work with vast, complex datasets, ensuring their quality, accessibility, and utility for our ML scientists and engineers. We are seeking a highly motivated and skilled Data Scientist/Engineer to join our Machine Learning Data team within Hardware Acoustics. This role sits at the intersection of data engineering, data science, and machine learning, with a specific focus on acoustic and sensor data. You will be instrumental in designing, developing, and maintaining scalable data pipelines, ensuring data quality, and preparing complex datasets that power machine learning models enhancing Apple's hardware acoustic performance. You will collaborate closely with ML engineers, acoustic scientists, and hardware engineers to understand their data needs and deliver impactful, data-driven solutions. Design, develop, and maintain robust and scalable data pipelines for collecting, processing, and transforming large volumes of acoustic, sensor, and related metadata. Collaborate with acoustic engineers and ML scientists to identify, extract, and engineer features from raw acoustic data for machine learning models. Implement rigorous data

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