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Audio Machine Learning Intern Jobs in Warrenville, IL

Optiver

Quantitative Intern (Summer 2027)

Chicago, IL · On-site

$70K - $88K/yr

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a ... Available to intern during Summer 2027. * Open to full-time opportunities upon graduation. * Strong ...

Shure

AI Specialist (Operations) Intern

Niles, IL · On-site

$23 - $43/hr

Basic understanding of Artificial Intelligence, Machine Learning, or Generative AI concepts ... Founded in 1925, we are a leading global manufacturer of audio equipment known for quality ...

Shure

AI Specialist (Operations) Intern

Niles, IL · Hybrid

$23 - $43/hr

Basic understanding of Artificial Intelligence, Machine Learning, or Generative AI concepts ... Founded in 1925, we are a leading global manufacturer of audio equipment known for quality ...

New

Shure

AI Specialist (Operations) Intern

Niles, IL · Hybrid

$23 - $43/hr

Basic understanding of Artificial Intelligence, Machine Learning, or Generative AI concepts ... Founded in 1925, we are a leading global manufacturer of audio equipment known for quality ...

Shure

AI Specialist (Operations) Intern

Niles, IL · Hybrid

$23 - $43/hr

Basic understanding of Artificial Intelligence, Machine Learning, or Generative AI concepts ... Founded in 1925, we are a leading global manufacturer of audio equipment known for quality ...

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Showing results 41-60

All JobsAudio Machine Learning Intern JobsAudio Machine Learning Intern Jobs in Warrenville, IL

Audio Machine Learning Intern information

See Warrenville, IL salary details

$25.6K

$42.7K

$88.2K

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 Warrenville, IL is $42,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,600.00 and $46,100.00 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 cities near Warrenville, IL are hiring for Audio Machine Learning Intern jobs?

Cities near Warrenville, IL 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 Warrenville, IL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,680 per year, or $20.5 per hour.

Quantitative Intern (Summer 2027)

Optiver

Chicago, IL • On-site

$70K - $88K/yr

Full-time, Temporary, Internship

Re-posted 5 days ago

Key responsibilities

  • Work alongside traders, researchers, and engineers to analyze complex datasets and investigate market behavior.

  • Apply quantitative and programming skills to solve real trading challenges and develop impactful tools.

  • Participate in market simulations, hands-on projects, and training to develop skills in quantitative research, data analysis, and AI tools.

Job description

As a Quantitative Intern at Optiver, you'll work alongside traders, researchers, and engineers to solve complex problems in global financial markets. You'll learn how quantitative research, data, technology, and AI-enabled tools come together to identify opportunities, test ideas, and drive decision-making in rapidly evolving markets. Through hands-on project work, mentorship, and training led by Optiver's dedicated Education team, you'll build the foundation needed to make an impact.
As part of the interview process, we'll assess your strengths, interests, and skills to determine the best fit, and you may be considered for either a Quant Trading or Quant Research internship offer.
What You'll Do:
Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a combination of structured education, market simulations, and exposure to modern research and AI tools, you'll develop the skills needed to apply quantitative thinking to real-world challenges.
You'll have the opportunity to:
  • Develop a deeper understanding of financial markets, quantitative trading, and the research and technology that power them.
  • Analyze complex datasets, investigate market behavior, and uncover insights that inform decision-making.
  • Apply your quantitative and programming skills to solve real trading challenges and build impactful tools.
  • Strengthen your decision-making skills through live market simulations and hands-on experience.
  • Explore how AI tools can accelerate research, experimentation, and quantitative decision-making
  • Learn directly from experienced traders and researchers in a collaborative, high-performance environment.

What You'll Get:
You'll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you'll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.
In addition, you'll receive:
  • The opportunity to work alongside best-in-class professionals from over 40 different countries.
  • The opportunity to earn a return internship or full-time offer in Chicago, Austin, New York City, or Amsterdam based on performance.
  • A highly competitive internship compensation package.
  • Optiver-covered flights, living accommodations, and commuting stipends.
  • Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more.

Who You Are:
  • Currently pursuing a Bachelor's or Master's degree in a STEM field.
  • Expected graduation between December 2027 and June 2029, with sophomore standing or higher.
  • Available to intern during Summer 2027.
  • Open to full-time opportunities upon graduation.
  • Strong quantitative, analytical, and logical reasoning skills.
  • Solid foundation in mathematics, probability, and statistics.
  • Experience with programming or scripting in Python or another language.
  • Strong interest in financial markets, quantitative research, and decision-making.
  • Excited to work in a fast-paced, collaborative environment.
  • Fluent in English with strong written and verbal communication skills.

Who We Are:
Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company.
Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
Optiver is supportive of US immigration sponsorship for this role.
Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.
Below is the expected compensation for this position. This is a good-faith estimate of the base pay scale and sign-on bonus for this position and offers will ultimately be determined based on experience, education, skill set, and performance in the interview process. This position will also be eligible for the benefits listed above.
Base Salary Range
$70,000-$88,000 USD

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