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Audio Machine Learning Intern Jobs in Aurora, IL

Quantitative Research Intern

Chicago, IL ยท On-site

$250K - $300K/yr

As a Quantitative Research Intern you will have an opportunity to solve challenging problems ... Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to ...

Showing results 41-60

Audio Machine Learning Intern information

See Aurora, IL salary details

$25.3K

$42.2K

$87.2K

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

As of Sep 5, 2026, the average yearly pay for audio machine learning intern in Aurora, IL is $42,219.00, 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 Aurora, IL?

For Audio Machine Learning Intern jobs in Aurora, IL, the most frequently searched job titles are:

What job categories do people searching Audio Machine Learning Intern jobs in Aurora, IL look for?

The top searched job categories for Audio Machine Learning Intern jobs in Aurora, IL are:

What cities near Aurora, IL are hiring for Audio Machine Learning Intern jobs?

Cities near Aurora, IL with the most Audio Machine Learning Intern job openings:

Infographic showing various Audio Machine Learning Intern job openings in Aurora, IL as of June 2026, with employment types broken down into 2% As Needed, 60% Full Time, 31% Part Time, 2% Temporary, 2% Contract, and 3% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $42,219 per year, or $20.3 per hour.

Cyber - Data, Risk & Privacy Consulting Intern - Summer 2027

PRICEWATERHOUSECOOPERS CORPORATE FINANCE LLC

Chicago, IL โ€ข On-site

$29.25 - $48/hr

Full-time

Posted 5 days ago


Key responsibilities

  • Supporting teams in cybersecurity and privacy initiatives to protect digital assets

  • Participating in projects focused on managing cyber risks and improving compliance with privacy regulations

  • Assisting in the development and implementation of privacy program strategies


Job description

Industry/Sector

Not Applicable

Specialism

Cybersecurity & Privacy

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity
As a Cyber - Data, Risk & Privacy Consulting Intern, you will engage in projects that focus on learning and gaining exposure to PwC's practices, particularly within our Advisory practice. You will support teams by participating in tasks related to privacy law and data protection, helping clients manage cyber risks and improve compliance with privacy regulations. This role offers a chance to observe and contribute to the protection of digital assets, safeguarding client reputation and trust.
As an Intern, you will be immersed in a learning environment where you will support teams, observe professional work settings, and participate in projects. You will apply a learning mindset, taking ownership of your development while appreciating diverse perspectives. This role emphasizes the importance of active listening, asking questions, and expressing ideas clearly. You will gather information from various sources to analyze facts and discern patterns, contributing to the team's success.
In this role, you will have the opportunity to work within the Cybersecurity & Privacy competency, gaining valuable insights into technology consulting. You will be encouraged to take initiative, produce quality work, and start establishing your personal brand, paving the way for future opportunities.
Responsibilities
- Supporting teams in cybersecurity and privacy initiatives to protect digital assets
- Participating in projects focused on managing cyber risks and improving compliance with privacy regulations
- Assisting in the development and implementation of privacy program strategies
- Conducting research and gathering information to analyze privacy impact assessments
- Observing and learning from experienced professionals in technology consulting
- Engaging in basic tasks related to data protection and privacy compliance
- Applying a learning mindset to understand PwC's practices and methodologies
- Contributing to the preparation of compliance training materials for client support
- Collaborating with team members to identify and address privacy and data protection challenges
- Developing skills in managing data breaches and implementing measures to prevent future incidents
What You Must Have
- Currently pursuing or have completed a Bachelor's degree
- Client service intern positions are entry-level and job seekers are traditionally either in their 3rd year of a 4 year degree program or in the 4th year of a 5 year program. Client service interns typically join us during the winter/spring or summer prior to their intended graduation year
What Sets You Apart
- Preference for at least one of the following fields of study: Computer Engineering, Information Technology, Information System, Computer Science, Management Information Systems, Cyber security, Information Cyber Security, Data Analytics, Analytics, Business Analytics, Economics, Machine Learning, Artificial Intelligence, Statistics, Regulatory, Industrial Design, UX Design
- Preferred cumulative GPA: 3.3
- Preferred major GPA: 3.3
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Supporting cybersecurity and privacy initiatives to protect digital assets
- Participating in technology consulting projects to drive digital transformation
- Observing and learning from advisory consultants to gain strategic insights
- Applying a learning mindset to develop personal and professional skills

Travel Requirements

Up to 80%

Job Posting End Date

September 26, 2026The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.