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Internship Audio Machine Learning Jobs in Denver, CO

Past example internship projects include machine learning development, automating current manual processes, infrastructure provisioning, and outer API servicing. PNC looks for interns to bring a ...

Familiarity through former internships, coursework or research with machine learning or AI, APIs, backend development COMPENSATION $17-25/hour Note that interns do not qualify for benefits or equity ...

Familiarity through former internships, coursework or research with machine learning or AI, APIs, backend development COMPENSATION $17-25/hour Note that interns do not qualify for benefits or equity ...

Interest in AI, machine learning, and digital transformation * Internship or consulting experience Why Join G2M? You'll work directly with experienced executives, consultants, and engineers on high ...

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Showing results 21-40

Internship Audio Machine Learning information

See Denver, CO salary details

$26.2K

$43.8K

$90.6K

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

As of Aug 21, 2026, the average yearly pay for internship audio machine learning in Denver, CO is $43,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,300.00 per year, depending on experience, location, and employer.

What is the difference between Internship Audio Machine Learning vs Audio Signal Processing Intern?

AspectInternship Audio Machine LearningAudio Signal Processing Intern
Required SkillsMachine learning, programming, audio analysisSignal processing, audio engineering, MATLAB
Work EnvironmentResearch labs, tech companies, AI-focused teamsAudio labs, audio equipment companies, research institutions
Industry UsageAI, speech recognition, music analysisAudio engineering, sound design, acoustics

Internship Audio Machine Learning focuses on developing algorithms for audio data, emphasizing machine learning techniques. In contrast, Audio Signal Processing Interns work on analyzing and manipulating audio signals using signal processing methods. Both roles often require programming skills and are found in tech and audio industries, but their core focus differs: AI-driven analysis versus traditional signal processing.

Infographic showing various Internship Audio Machine Learning job openings in Denver, CO as of July 2026, with employment types broken down into 6% Internship, 70% Full Time, 18% Part Time, and 6% Temporary. Highlights an 82% In-person, 6% Hybrid, and 12% Remote job distribution, with an average salary of $43,830 per year, or $21.1 per hour.

Research Intern on Generative and Protective AI for Content Creation

Sony

Thornton, CO • On-site

$50/hr

Other

Posted 20 days ago


Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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