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Part Time Audio Signal Processing Machine Learning Jobs

Flyspace Productions LLC

Audio Engineer

Pittsburgh, PA · On-site

$21.64 - $24/hr

Proficiency with digital and analog consoles, RF management, and audio signal flow. Specific ... Professional understanding of the artistic process and the ability to work closely with clients ...

ConfigUSA

Machine Learning Engineer (Seattle)

Seattle, WA

$130.40K - $156.60K/yr

Perform exploratory data analysis (EDA) using AWS data processing tools. * Build, train, and evaluate machine learning models using AWS services such as SageMaker, and frameworks like TensorFlow ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.90K - $136.80K/yr

Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be ... For technical support or questions about Capital One's recruiting process, please send an email to ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.90K - $136.80K/yr

Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be ... For technical support or questions about Capital One's recruiting process, please send an email to ...

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All JobsAudio Signal Processing Machine Learning JobsPart Time Audio Signal Processing Machine Learning Jobs

Part Time Audio Signal Processing Machine Learning information

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$53.5K

$131.3K

$193.5K

How much do part time audio signal processing machine learning jobs pay per year?

As of Jun 1, 2026, the average yearly pay for part time audio signal processing machine learning in the United States is $131,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Audio Signal Processing Machine Learning vs Part Time Audio Engineering?

AspectPart Time Audio Signal Processing Machine LearningPart Time Audio Engineering
Required SkillsAudio signal processing, machine learning, programmingSound recording, mixing, live sound, equipment operation
Work EnvironmentResearch labs, tech companies, software developmentRecording studios, live venues, broadcast stations
CertificationsAudio processing, machine learning certifications, programming coursesAudio engineering degrees, certification programs
Industry UsageTech, research, AI-driven audio applicationsMusic, broadcasting, live events

Part Time Audio Signal Processing Machine Learning focuses on developing algorithms for audio analysis and enhancement using machine learning techniques, often in research or tech settings. In contrast, Part Time Audio Engineering involves hands-on work with sound recording, mixing, and live sound management. While both roles require audio knowledge, the former emphasizes technical programming skills, whereas the latter centers on practical audio production skills.

More about Part Time Audio Signal Processing Machine Learning jobs
What are the most commonly searched types of Audio Signal Processing Machine Learning jobs? The most popular types of Audio Signal Processing Machine Learning jobs are:
What job categories do people searching Part Time Audio Signal Processing Machine Learning jobs look for? The top searched job categories for Part Time Audio Signal Processing Machine Learning jobs are:
Part Time Audio Signal Processing Machine Learning jobs near you
Infographic showing various Part Time Audio Signal Processing Machine Learning job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 12% Full Time, 85% Part Time, and 1% Contract. Highlights an 100% Physical job distribution, with an average salary of $131,349 per year, or $63.1 per hour.
Research Intern on Generative and Protective AI for Content Creation

Research Intern on Generative and Protective AI for Content Creation

Sony Corporation

New York, NY • On-site

$45/hr

Part-time

Posted 14 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 $45.00 per hour. The individual will be paid hourly and eligible for overtime.
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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, Human Resources 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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