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Audio Machine Learning Intern Jobs in Elgin, IL (NOW HIRING)

Syntiant

Product Management Intern

Itasca, IL · On-site

... edge AI speech, audio, sensor and vision applications across a wide range of consumer and ... Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ...

Syntiant

Product Management Intern

Itasca, IL · On-site

... edge AI speech, audio, sensor and vision applications across a wide range of consumer and ... Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ...

Syntiant

Product Management Intern

Itasca, IL

... edge AI speech, audio, sensor and vision applications across a wide range of consumer and ... Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ...

Cabrini Green Legal Aid

Communications Intern

Chicago, IL · On-site

$15.50 - $20.50/hr

... audio for potential social media reels • Upload videos and content to YouTube • Track and ... Learning Opportunities The Communications & Storytelling Intern will gain experience in: • ...

Akuna Capital

Quantitative Researcher

Chicago, IL · On-site

$145K/yr

Design and optimize machine learning workflows to support scalable, efficient, and reproducible ... If you are a current student or recent graduate, please take a look at our Entry Level and Intern ...

Akuna Capital

Quantitative Researcher

Chicago, IL · On-site

$145K/yr

Design and optimize machine learning workflows to support scalable, efficient, and reproducible ... If you are a current student or recent graduate, please take a look at our Entry Level and Intern ...

Syntiant

Quality Engineering Intern

Itasca, IL · On-site

$16.25 - $21.25/hr

... edge AI speech, audio, sensor and vision applications across a wide range of consumer and ... Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ...

Syntiant

Quality Engineering Intern

Itasca, IL · On-site

$16.25 - $21.25/hr

... edge AI speech, audio, sensor and vision applications across a wide range of consumer and ... Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ...

Syntiant

Quality Engineering Intern

Itasca, IL · On-site

$16.25 - $21.25/hr

... edge AI speech, audio, sensor and vision applications across a wide range of consumer and ... Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ...

PLS

AI Intern

Chicago, IL · On-site

The AI Intern will identify, develop, and improve artificial intelligence and machine learning solutions that support company goals. This role is ideal for a student or recent graduate who is eager ...

PLS

AI Intern

Chicago, IL · On-site

$22 - $30/hr

The AI Intern will identify, develop, and improve artificial intelligence and machine learning solutions that support company goals. This role is ideal for a student or recent graduate who is eager ...

Cna

Senior Data AI Engineer

Chicago, IL · On-site

$109K - $148K/yr

... machine learning solutions that accelerate CNA's migration to a modern cloud data lakehouse. The engineer works across structured and unstructured data domains - including documents, images, audio ...

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

Audio Machine Learning Intern information

See Elgin, IL salary details

$25.2K

$42.1K

$87K

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

As of Jul 15, 2026, the average yearly pay for audio machine learning intern in Elgin, IL is $42,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,500.00 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 the most commonly searched types of Audio Machine Learning jobs in Elgin, IL? The most popular types of Audio Machine Learning jobs in Elgin, IL are:
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What job categories do people searching Audio Machine Learning Intern jobs in Elgin, IL look for? The top searched job categories for Audio Machine Learning Intern jobs in Elgin, IL are:
What cities near Elgin, IL are hiring for Audio Machine Learning Intern jobs? Cities near Elgin, IL with the most Audio Machine Learning Intern job openings:
Audio Machine Learning Intern jobs near you

Quantitative Technologist (C++ Intern)

Radix Trading University Job Board

Chicago, IL

Other

Posted 7 days ago

Job description

Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.  

As a C++ Quantitative Technologist Intern, you'll gain experience working on live trading systems, research infrastructure, and alpha generation through technology innovation. 
We leverage cutting-edge software and hardware (mostly with modern C++) to push production level code daily and evolve fully-automated strategies, alpha generation processes, live trading systems, and machine learning research and simulation infrastructure used to analyze petabytes of data. 
We provide intern projects that we know will add real value to the firm, while encouraging exploration and independent approaches to improve inefficiencies, propose iterations, and own significant processes during your internship.
Qualifications

We're looking for highly analytical people who want to help build the research-driven trading firm of the future. And to do that, you'll need the following qualities:

  • Persistent Drive to Improve - Do you have an innate desire to rise to the next level, even after great accomplishments?
  • Creative Problem Solving and Probabilistic Thinking - You must enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic approach to testing and implementing new ideas.
  • Team Mindset - We want people who understand 1+1 > 2 and are as committed to making the team better through sharing ideas as they are driven to improve their individual performance.
  • Mental Flexibility & Self Awareness - You'll have to frequently adapt based on new data, results, and feedback on your ideas and performance.
  • Orientation for Making Money - Although we value academic training, our work is not an academic exercise. We take a hacker's approach to testing ideas, dropping projects that consume time without high upside, and focusing our next efforts on what will create the most value for the firm.

Software development skills to have or develop

  • Low-level computer languages like C or C++; awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language
    • C++ is the language you will be using for your projects during your summer with us  
  • Understanding of data structures, algorithmic complexities, and numerical algorithms
  • Systems Architecture - knowledge and experience with distributed systems and communication
  • Software Architecture - knowledge and experience working with a large code base
  • Development Processes - experience delivering and deploying software in production environments

Apply