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Internship Audio Machine Learning Jobs in Austin, TX

NXP Semiconductors N.V.

Data Scientist

Austin, TX · On-site

$128K/yr

... internship or related occupation involving: 1. Programming language in C++, Python, and SQL 2. Pandas and OpenCV, 3. Computer compiler and algorithms, 4. Machine learning, 5. Deep learning language ...

NXP Semiconductors

Data Scientist

Austin, TX

$128K/yr

... internship or related occupation involving: 1. Programming language in C++, Python, and SQL 2. Pandas and OpenCV, 3. Computer compiler and algorithms, 4. Machine learning, 5. Deep learning language ...

Apple, Inc.

Hardware Systems Engineering

Austin, TX · On-site

$122K - $161K/yr

MACHINE LEARNING AND AI Within Apple?s Artificial Intelligence and Machine Learning organization ... Prior internship(s), group or personal project exposure, TA and/or work experience. This posting is ...

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All JobsAudio Machine Learning JobsInternship Audio Machine Learning JobsInternship Audio Machine Learning Jobs in Austin, TX

Internship Audio Machine Learning information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do internship audio machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for internship audio machine learning in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What is the difference between Internship Audio Machine Learning vs Audio Signal Processing Intern?

AspectInternship Audio Machine LearningAudio Signal Processing Intern
Required SkillsMachine learning, programming, audio analysisSignal processing, audio engineering, MATLAB
Work EnvironmentResearch labs, tech companies, AI-focused teamsAudio labs, audio equipment companies, research institutions
Industry UsageAI, speech recognition, music analysisAudio engineering, sound design, acoustics

Internship Audio Machine Learning focuses on developing algorithms for audio data, emphasizing machine learning techniques. In contrast, Audio Signal Processing Interns work on analyzing and manipulating audio signals using signal processing methods. Both roles often require programming skills and are found in tech and audio industries, but their core focus differs: AI-driven analysis versus traditional signal processing.

What are the most commonly searched types of Audio Machine Learning jobs in Austin, TX?

The most popular types of Audio Machine Learning jobs in Austin, TX are:

Internship Audio Machine Learning jobs near you

Applied Data Solutions Program, Software Engineering (Full-Time Opportunities)

Apple, Inc.

Austin, TX • On-site

$113K - $136K/yr

Other

Posted 4 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to be part of a supportive team that's constantly learning and having fun while solving tough business problems? We'd love to talk to you if you do!
Join the Applied Data Solutions Program (ADSP) and make a positive impact on one of the most influential technology leaders in the industry. You'll be tasked with building sophisticated, scalable and robust architecture, tools, data products, and critical data pipelines that are optimized for rapid business intelligence, data analysis, and data science. You will work with teams across Apple, using data analysis and predictive modeling techniques, to define, build, deploy, and maintain end-to-end operational solutions that have a direct and measurable impact to the company and our customers. The enormous scale and complexity of the problems and our data present exciting opportunities for pushing the limits of existing data science methods.
Description
The ADSP provides entry-level talent with practical work experience through project-based rotations on various teams within Finance. Upon completion, ADSPs move into non-rotating technical roles within Apple. We have a variety of opportunities for software engineers, data scientists, and machine learning engineers. Responsibilities may include:
Support our business partners and optimizes the customer experience by delivering data-driven solutions that mitigate fraud, improve security, and optimize efficiency.
Work closely with Machine Learning Engineers and other Software Engineers to lead the design and implementation of scalable, easy-to-use systems and tools.
Engage with stakeholders to translate ambiguous business problems into technical solutions, including finding opportunities, breaking them into solvable segments, defining requirements, assessing level of effort, etc.
Work cooperatively to design data science-driven solutions, balancing the utility of tried-and-true techniques and the benefits of custom solutions.
Develop self-service tools and automation to improve data engineering efficiency and self-service analytics.
Create reporting and monitor decisioning quality to maintain operational and business metric health.
Translate ambiguous business problems into technical solutions by working collaboratively with business partners.
Develop, deploy, and operationally support machine-learning models that take real-time and forensic action against a variety of threats to Apple's ecosystem.
Apply data science to core finance processes to automate and elevate capability, forecasting, accruals, accounting entries prep, IA process, risk mitigation, etc.
Minimum Qualifications
Undergraduate or graduate degree in Computer Science, Data Science, Data Analytics, Machine Learning or related field.
Proficient in at least one programming language (Python/Scala/Java preferred).
Practical experience (acquired through work, independent projects, or academic research) in deploying machine learning solutions to answer real-world questions.
Practical experience (acquired through work, independent projects, or academic research) with implementing data science-related applications in a programming language such as Python, Scala, or Java.
Effective communication skills to translate complex concepts and analysis into concise, business-focused solutions.
Previous Apple FDP or ADSP internship is required.
Preferred Qualifications
Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact.
Experience with ML platform provisioning and optimization (e.g., Dataiku, Ray, GPU-based training environments).
Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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