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Audio Machine Learning Intern Jobs in Chicago, IL

Using statistical models and machine learning to develop trading algorithms. * Leveraging big data ... Available to intern during Summer 2026 * Open to full-time opportunities upon graduation in 2027 or ...

... 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 ...

... 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 ...

... 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 ...

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: • ...

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Audio Machine Learning Intern information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

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 Chicago, IL is $43,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 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 Chicago, IL? The most popular types of Audio Machine Learning jobs in Chicago, IL are:
What are popular job titles related to Audio Machine Learning Intern jobs in Chicago, IL? For Audio Machine Learning Intern jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Audio Machine Learning Intern jobs in Chicago, IL look for? The top searched job categories for Audio Machine Learning Intern jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Audio Machine Learning Intern jobs? Cities near Chicago, IL with the most Audio Machine Learning Intern job openings:
Quantitative Research Intern, Summer 2027

Quantitative Research Intern, Summer 2027

Akuna Capital

Chicago, IL

$145K/yr

Other

Posted yesterday

New


Job description

About Akuna:

Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions, and automation. We specialize in providing liquidity as an options market-maker - meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully, we design and implement our own low latency technologies, trading strategies and mathematical models. 

Our Founding Partners first conceptualized Akuna in their hometown of Sydney. They opened the firm's first office in 2011 in the heart of the derivatives industry and the options capital of the world - Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, London, and Singapore. 

What you'll do as a Quantitative Research Intern at Akuna:

Akuna's Quant team is looking to add Quant Research Interns to a team of mathematicians, statisticians and technologists for our 10-week Akunacademy internship program in our Chicago office. This team creates trading strategies scientifically by combining its quantitative expertise with sophisticated understanding of derivatives and financial markets.

We are looking for talented researchers who can apply and develop machine learning algorithms to contribute to Akuna's strategy portfolio. In this role you will:

  • Develop trading strategies using statistical and machine learning algorithms.
  • Design and implement optimization algorithms for portfolio construction.
  • Develop quantitative models describing market behavior.
  • Advance existing initiatives and explore opportunities for new research topics.

Qualities that make great candidates:

  • Pursuing a bachelor's, masters or PhD in Statistics, Computer Science, Engineering, Mathematics (or a related subject)
  • Expertise in statistics and machine learning
  • Experience building mathematical models for complex real-world problems
  • Intermediate programming skills in Python 
  • The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role
  • Financial experience is not a requirement
  • Must graduate by August 2028
  • GPA of 3.5 or above
  • Legal authorization to work in the U.S. is required on the first day of employment including F-1 students using CPT, OPT or STEM

**Resumes must be submitted in PDF format. 

In addition to technical skillsets, Akuna values the unique perspectives people can bring to the table to collaboratively solve complex problems and drive Akuna forward. We want everyone to feel empowered to apply. We welcome your application and encourage you to take the first steps toward your future with us!

Please note: By submitting an application for this role, you are indicating this is your top preference and acknowledge you will not be considered for other Quant and/or Tech roles at Akuna this recruiting season. This acknowledgement does not limit applications to Trading roles - in addition to this role, you may apply to any Trader roles of interest. 

In accordance with Illinois Equal Pay Act, the minimum annualized base salary starts at $145,000. Exact compensation offered may vary based on many factors including, but not limited to, the candidate's experience, qualifications, and skill set. The minimum base salary herein was determined in good faith by Akuna Capital LLC.