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Audio Machine Learning Intern Jobs in Austin, TX

Rockwell Automation, Inc.

Intern, Applied AI

Austin, TX · On-site

$22 - $40/hr

Prior intern or co-op with Rockwell Automation * Pursuing a degree in Mechanical Engineering ... Experience in the following Python, machine learning or Generative AI, reinforcement learning ...

Rockwellautomation

Intern, Applied AI

Austin, TX · On-site

$22 - $40/hr

Prior intern or co-op with Rockwell Automation * Pursuing a degree in Mechanical Engineering ... Experience in the following Python, machine learning or Generative AI, reinforcement learning ...

Rockwell Automation

Intern, Applied AI

Austin, TX · On-site

$22 - $40/hr

Prior intern or co-op with Rockwell Automation * Pursuing a degree in Mechanical Engineering ... Experience in the following Python, machine learning or Generative AI, reinforcement learning ...

Apple

Applied Scientist

Austin, TX

$175K - $308K/yr

... audio, world-class workouts and meditations, super fun games and more! The Services Data Science ... machine learning to help optimize marketing channels, via observational testing frameworks ...

Apple

Applied Scientist

Austin, TX

$175K - $308K/yr

... audio, world-class workouts and meditations, super fun games and more! The Services Data Science ... machine learning to help optimize marketing channels, via observational testing frameworks ...

Cook & Boardman

Lead Audio Video Technician

Austin, TX · On-site

Career Growth: You'll benefit from continuous learning, mentorship, and leadership training ... These may include outdoor weather, proximity to forklifts or other heavy machinery, and the use of ...

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All JobsAudio Machine Learning Intern JobsAudio Machine Learning Intern Jobs in Austin, TX

Audio Machine Learning Intern information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

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

As of Aug 9, 2026, the average yearly pay for audio machine learning intern 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 does an audio machine learning intern do?

An Audio Machine Learning Intern assists in developing and improving machine learning models that process and analyze audio data. Their tasks may include data preprocessing, feature extraction, model training, and evaluation for applications like speech recognition, sound classification, or music analysis. Interns often collaborate with engineers and researchers to experiment with new algorithms and optimize audio-based AI systems. This role provides hands-on experience in both audio signal processing and machine learning techniques.

What types of projects can an audio machine learning intern expect to work on during their internship?

As an Audio Machine Learning Intern, you can expect to be involved in projects such as developing and fine-tuning audio classification models, working on speech recognition algorithms, or improving the accuracy of sound event detection systems. You may also assist with the collection and preprocessing of audio datasets, as well as support model evaluation and optimization. Collaboration with data scientists, audio engineers, and software developers is common, offering a hands-on learning environment and exposure to end-to-end machine learning workflows in the audio domain.

What are the key skills and qualifications needed to thrive as an audio machine learning intern, and why are they important?

To thrive as an Audio Machine Learning Intern, you need a solid background in signal processing, machine learning fundamentals, and programming skills, often supported by coursework or research in computer science or electrical engineering. Familiarity with Python, TensorFlow or PyTorch, and audio processing libraries like Librosa is typically required. Creativity, problem-solving abilities, and strong collaboration skills help you stand out in this role. These skills are crucial for developing innovative audio solutions, interpreting complex data, and working effectively within research or product teams.

What is the difference between Audio Machine Learning Intern vs Audio Data Analyst?

AspectAudio Machine Learning InternAudio Data Analyst
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsDegree in Data Analysis, Statistics, or related fields; may have certifications in data tools
Work EnvironmentResearch labs, tech companies, or startups focusing on AI and audio techData-driven departments within media, entertainment, or tech companies
Employer & Industry UsageUsed in AI development, research projects, and product innovationUsed for analyzing audio data, improving user experience, and reporting

The Audio Machine Learning Intern focuses on developing models and algorithms for audio data, often in research or development settings. In contrast, the Audio Data Analyst primarily interprets audio data to generate insights and support decision-making. Both roles require familiarity with audio data, but the intern role emphasizes machine learning skills, while the analyst role centers on data analysis and reporting.

What are popular job titles related to Audio Machine Learning Intern jobs in Austin, TX? For Audio Machine Learning Intern jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Audio Machine Learning Intern jobs in Austin, TX look for? The top searched job categories for Audio Machine Learning Intern jobs in Austin, TX are:
What cities near Austin, TX are hiring for Audio Machine Learning Intern jobs? Cities near Austin, TX with the most Audio Machine Learning Intern job openings:
Audio Machine Learning Intern jobs near you
Infographic showing various Audio Machine Learning Intern job openings in Austin, TX as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,209 per year, or $20.3 per hour.

Internship | Archival Intern

CAPITAL OF TEXAS PUBLIC

Austin, TX

$20/hr

Part-time, Internship

Posted 19 days ago

Job description

Description

Join the Neighborhood!
Austin PBS is looking for an Archive Intern to join our team. If you're curious, detail-oriented, and passionate about storytelling, preservation, and public media, we encourage you to apply!

About Austin PBS, KLRU-TV
Austin PBS is your locally owned, community-supported PBS station in Central Texas. With thousands of hours of programming across multiple platforms and hundreds of community events each year, Austin PBS has the potential to reach nearly every household daily.
Each year, we broadcast 35,000 hours of free, curated content across our four channels and the PBS app, covering arts, culture, history, public affairs, and both local and national news.
But we are more than just a TV station-we are a mission-driven nonprofit media organization. Our goal is to educate, inspire, and entertain Central Texans through engaging programming and community events. Last year alone, we hosted over 90 events with more than 100,000 attendees. Visit video.austinpbs.org or download the free PBS app to explore our local programs and learn more about Austin PBS.

Position Overview
Austin PBS is seeking a motivated and intellectually curious undergraduate student to join our Archives team as an Archive Intern. This 14-week, part-time, paid internship offers a unique opportunity to gain hands-on experience with archival materials, digital preservation workflows, and legacy media formats. You'll work closely with our Director of Archives and Digital Archives Specialist to support the preservation and accessibility of Austin PBS's rich public media history. This role is ideal for students interested in pursuing graduate studies in Library and Information Studies (LIS), Archival Studies, or the broader Library, Archives, and Museum (LAM) fields.

Role & Responsibilities

  • Support digitization of photographs, audio, and video materials
  • Assist with the arrangement and description of unprocessed archival collections
  • Help create finding aids and metadata using schemas such as Dublin Core
  • Organize and clean existing archival datasets to enhance usability
  • Respond to research requests and inquiries from Austin PBS staff and the public
  • Participate in special archive projects, pop-up displays, and station-wide events

Benefits

  • Gain experience in archival work within a public media organization
  • Receive mentorship from experienced professionals in both analog and digital preservation
  • Build skills applicable to graduate studies in LIS or related programs
  • Contribute to meaningful preservation initiatives that support community memory
  • Eligibility to enter the staff ticket lottery for Austin City Limits tapings

Important Information

  • Resume and Cover Letter required when applying
  • Applications open: July 20, 2026
  • Deadline to Apply: August 7, 2026
  • Internship Duration: September 7, 2026 - December 11, 2026
  • Pay Rate: $20/hr.

Requirements

Minimum Qualifications

  • Current undergraduate student, must be actively enrolled in an accredited college or university degree program during the full duration of the internship
  • Enrolled in a relevant degree program (e.g., History, Photography, Computer Science, Anthropology, Data Analytics, etc.)
  • Strong written and verbal communication skills
  • Interest in archives, digital preservation, storytelling, and public media
  • Basic familiarity with digital media formats and file types is a plus
  • Ability to lift and carry boxes up to 30lbs
  • Willingness to learn and collaborate with a cross collaborative team
  • Must be able to work in-person for the full duration of the internship

Physical Demands
The working environment is primarily a general office setting, with tasks that may include lifting archival boxes (up to 30 lbs) and handling legacy media formats with care.

Equal Opportunity Employer
Austin PBS believes that diversity is essential to our mission. We are committed to equal employment opportunity, and all qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity, gender expression, age, religion, veteran status, disability, or any other characteristic protected by law.

Apply