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Audio Machine Learning Intern information

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$25.5K

$42.6K

$88K

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

As of Jul 17, 2026, the average yearly pay for audio machine learning intern in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 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.

More about Audio Machine Learning Intern jobs
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What states have the most Audio Machine Learning Intern jobs? States with the most job openings for Audio Machine Learning Intern jobs include:
What job categories do people searching Audio Machine Learning Intern jobs look for? The top searched job categories for Audio Machine Learning Intern jobs are:
Audio Machine Learning Intern jobs near you

Intern - Applications, AI and Machine Learning (Fall 2026) (ET26021)

TMEIC Corporation Americas

Roanoke, VA

Temporary

Re-posted 24 days ago

Job description

Job # ET26021

Job Title  Intern - Applications, AI and Machine Learning

Office Location Roanoke, VA preferred

Business/Department   Energy and Infrastructure Solutions / Operations

Sales Territory, if applicable        

General Role Description

Provide software design support for data analytics and technical support for business data solutions for information technology projects that meet client needs and fulfill project requirements

Role Accountabilities

- Gather pertinent information from authorized sources to assess project requirements as related to assigned scope of work

- Create and document computer-based software modules to meet functionality and work progress targets, as directed, at prescribed design checkpoints

- Recommend improvements to test procedures to better identify where software does not meet all project requirements for

assigned scope of work

- Design, build, and deploy artificial intelligence/machine learning systems and applications that solve complex business problems

- Develop dashboards based on business requirements following industry best practices and approved methodologies

- Identify key trends and patterns via analysis of internal and external data associated with the performance of the company

and report to manager

- Design, implement, test, deploy and document system configurations including data analytics structures, visualizations

and dashboards to meet project requirements

- Verify data accuracy, quality and integrity when sourcing and curating data from the Company's business systems into data

models

- Provide technical consulting to users regarding applications and development

- Ensure completion of assignments within the defined scope, quality, and time

- Provide regular, accurate and considered status reports to parties deemed appropriate to the situation

General Employee Accountabilities

- Bring full effort to bear on tasks assigned by manager

- Give manager best advice

- Give earliest notice when work cannot be delivered as specified

- Cooperate and collaborate with peers and interact cross-organizationally as specified by manager

- Exemplify Company Core Values: Integrity, Client Focus, Team Orientation, and Personal Commitment

- Comply with all Company policies, practices, and procedures and all regulations and laws

- Recommend viable improvements proactively

- Ensure effective utilization of business tools and processes

Requirements

Minimum Qualifications

  • High school diploma
  • Enrolled in Bachelor of Science in Computer Science, Data Science or Mathematics program, or related field, with related coursework
  • Classes, labs and projects with concentration in some combination of data analysis, data analytics structures, data preparation, ETL processes or data visualization
  • Demonstrated problem solving skills
  • Demonstrated successful working relationships with others in educational or employment setting
  • Demonstrated successful and positive personal leadership, interpersonal, organizational, administrative, and communication skills
  • Proficiency in MS Office suite
  • Availability to travel domestically, up to 5%, sometimes with limited notice
  • Visa sponsorship not available for this position
  • This is not a benefits eligible position

Preferred Qualifications

- Bachelor of Science in Computer Science, Data Science or Mathematics

- Enrolled in Master of Science in Computer Science, Data Science or Mathematics

- Working knowledge of Oracle data analytics tools

- Work experience as a research assistant, intern, or co-op in the above areas

HiringRange: $55,600-83,400

Link to TMEIC Corporation Americas website:  https://www.tmeic.com/.  To be considered an applicant for any available positions, individuals must complete an online job application for each posting.  A resume may be attached to the online application but is not considered a substitute for the information in the application.  Applications will be considered only for the specific position for which the application is submitted.

EEO/AA/M/F/Vet/Disability Employer

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