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Internship Audio Analyst Jobs (NOW HIRING)

Dolby

Acoustic Data Intern (Fall 2026)

San Francisco, CA · On-site

$55 - $62/hr

... audio processing, image processing, computer vision, AR/VR, data science & analytics, distributed ... Databricks We recognize that applying to internships can be a daunting process, especially if you ...

Dolby

Acoustic Data Intern (Fall 2026)

San Francisco, CA · On-site

$55 - $62/hr

... audio processing, image processing, computer vision, AR/VR, data science & analytics, distributed ... Databricks We recognize that applying to internships can be a daunting process, especially if you ...

Maddzoo, Inc

Web Design Internship

Daytona Beach, FL · On-site

... icons, banners, audio enhancements, etc. Prepares site by installing and configuring server ... Provides information by collecting, analyzing, and summarizing data and trends. Accomplishes ...

Maddzoo, Inc

Web Design Internship

Daytona Beach, FL · On-site

... icons, banners, audio enhancements, etc. Prepares site by installing and configuring server ... Provides information by collecting, analyzing, and summarizing data and trends. Accomplishes ...

Acadia.io

Support the development and activation of omnichannel media campaigns across streaming video/audio ... or internship experience preferred). * Strong attention to detail and comfort working with large ...

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Internship Audio Analyst information

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$31K

$73.3K

$130K

How much do internship audio analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for internship audio analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What is the difference between Internship Audio Analyst vs Audio Analyst?

AspectInternship Audio AnalystAudio Analyst
Required CredentialsEnrolled in or recent graduate of relevant fieldBachelor's degree in audio engineering, communications, or related field
Work EnvironmentInternship setting, supervised, entry-levelFull-time professional environment, more independent
Employer & Industry UsageMedia companies, radio, TV, entertainmentMedia, broadcasting, advertising agencies
Common Search & Comparison IntentLearning, entry-level roles, internshipsProfessional work, career advancement

The Internship Audio Analyst is an entry-level position designed for students or recent graduates gaining initial experience in audio analysis. An Audio Analyst is a full-time professional responsible for analyzing and interpreting audio data in media or broadcasting industries. The internship provides foundational skills, while the full-time role involves more complex tasks and independence.

What types of projects can an internship audio analyst expect to work on, and how will they collaborate with other teams?

As an Internship Audio Analyst, you can expect to be involved in projects such as analyzing audio data for quality control, supporting the development of speech recognition models, and assisting with the annotation and labeling of audio samples. You will often collaborate with data scientists, software engineers, and linguists to ensure audio datasets meet project requirements. Regular communication and teamwork are essential, as you'll contribute insights to improve model accuracy and help troubleshoot issues that arise during audio processing tasks.

What does an internship audio analyst do?

An Internship Audio Analyst assists in analyzing, processing, and interpreting audio data, often for purposes such as media production, research, or development of audio technologies. Their tasks may include cleaning and organizing audio files, using software to extract features or identify patterns, and helping with the creation of reports or presentations based on their findings. Interns in this role work under the guidance of experienced audio analysts or engineers and may also be involved in testing and evaluating audio systems or tools. This position provides hands-on experience in the field of audio analysis and helps interns build technical and analytical skills relevant to careers in audio engineering, research, or data science.

What are the key skills and qualifications needed to thrive as an internship audio analyst?

To thrive as an Internship Audio Analyst, you need a basic understanding of audio engineering principles, sound analysis, and data interpretation, often demonstrated by coursework or related project experience. Familiarity with audio editing software (such as Audacity, Pro Tools, or Adobe Audition) and analytical tools is typically expected. Attention to detail, problem-solving abilities, and effective communication help you collaborate with teams and accurately interpret audio data. These skills ensure precise analysis, high-quality outcomes, and valuable contributions to audio-focused projects.
What cities are hiring for Internship Audio Analyst jobs? Cities with the most Internship Audio Analyst job openings:
What are the most commonly searched types of Audio Analyst jobs? The most popular types of Audio Analyst jobs are:
What states have the most Internship Audio Analyst jobs? States with the most job openings for Internship Audio Analyst jobs include:
Internship Audio Analyst jobs near you

Internship - Foundational Research Scientist

Smule

Salt Lake City, UT • Remote

Other

Re-posted 10 days ago

Job description

Salary:

Smule has been on a mission to bring the world together through music since 2008. Music is much more than listening it's about creating, sharing, discovering, participating, and connecting with people. With dozens of millions of monthly active users creating over 20 million songs every day, Smule is connecting people all over the world through the joy of making music and transforming the music landscape from one of passive listening to collaborative creative expression and active engagement.


About the Role:

We are looking for a Research Scientist to join Smule's Foundational Research team. In this role you will pursue long-horizon research questions that advance the state of the art in sequence modeling, generative modeling, and representation learning, with a particular focus on architectures and methods relevant to audio and music. You will design and execute rigorous experiments, publish at top venues, and contribute novel ideas that shape the direction of Smule's research agenda. The ideal candidate is deeply curious, comfortable with open-ended exploration, and motivated by scientific contribution.


We strongly encourage candidates with non-traditional ML backgrounds to apply. If your path into machine learning research came through physics, mathematics, signal processing, music technology, neuroscience, or another field, we want to hear from you.


What You'll Be Doing:

  • Identify, scope, and lead independent research projects that push the boundaries of current understanding in areas such as efficient sequence modeling, generative audio, representation learning, and optimization.
  • Design experiments with rigorous controls, ablation studies, and statistical analysis to validate hypotheses.
  • Publish findings at top-tier venues (NeurIPS, ICML, ICLR, Interspeech, ISMIR, or equivalent) and contribute to the broader research community through open-source artifacts and talks.
  • Collaborate with applied research and engineering teams to translate foundational insights into practical improvements for Smule's products.
  • Stay current with the latest literature, synthesize relevant work, and identify high-leverage research directions for the team.
  • Mentor junior researchers and interns, fostering a culture of intellectual rigor and creative exploration.


What We're Looking For:

  • Degree (B.S., M.S., or Ph.D.) in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline, or currently pursuing one.
  • Strong publication record at top ML/AI venues demonstrating original contributions.
  • Deep expertise in at least one core area: sequence modeling, generative models, optimization, probabilistic methods, or representation learning.
  • Proficiency in Python and modern deep learning frameworks (PyTorch preferred).
  • Excellent written and verbal communication skills; ability to present complex ideas clearly to diverse audiences.
  • Demonstrated ability to independently scope, execute, and communicate a research project from idea to publication.


Bonus Points For:

  • Experience with audio, speech, or music signal processing and modeling.
  • Familiarity with linear attention mechanisms, state-space models, or efficient transformer variants.
  • Experience with large-scale distributed training and high-performance computing.
  • Track record of successful cross-functional collaboration with engineering teams.


Smule is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other protected characteristic under federal, state, or local law.


We are committed to creating an inclusive environment for all employees and applicants. If you require a reasonable accommodation during the application or interview process, please let us know.