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Work Study Audio Machine Learning Jobs (NOW HIRING)

Apex Informatics

Machine Learning Engineer

... work on both open-ended research problems and production-ready API code). In this role, you'll ... audio and other unstructured data. • Collaborate with Product and Engineering teams to ensure ...

Odessa College

Simulation Hospital-Work Study

Odessa, TX · On-site

Position Details Position Information Working Title Simulation Hospital-Work Study Position Status ... Comfortable learning to use simulation and A/V equipment (training provided). * Interest in health ...

Forhyre

Machine Learning Engineer

New York, NY

Study and transform data science prototypes * Design machine learning systems * Research and ... Ability to work in a team * Outstanding analytical and problem-solving skills * BSc in Computer ...

GN Group

Machine Learning Engineer - Edge

Dover, NH · On-site

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... work in audio and speech processing. * Proficient in programming with C, C++, and Python.

GN Group

Machine Learning Engineer - Edge

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... work in audio and speech processing. * Proficient in programming with C, C++, and Python.

GN Group

Machine Learning Engineer - Edge

Dover, NH · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... work in audio and speech processing. * Proficient in programming with C, C++, and Python.

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical ... Advanced degree in computer science, mathematics, statistics or related area of study strongly ...

Pattern AI

Machine Learning Engineer

San Mateo, CA

Company Description PatternAI is an automated machine learning platform that reveals critical ... Advanced degree in computer science, mathematics, statistics or related area of study strongly ...

10a Labs

Machine Learning Engineer

... • Work closely with a broader team of engineers to integrate ML components into production ... audio, OCR, or deepfake classification. • Designing multilingual embedding systems with code ...

Hive

Machine Learning Manager

San Francisco, CA

$180K - $250K/yr

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or ... The work you do here will have a noticeable and direct impact on the development of the company.

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All JobsWork Study Audio Machine Learning Jobs

Work Study Audio Machine Learning information

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$84.5K

$171.5K

How much do work study audio machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for work study audio machine learning in the United States is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $113,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Work Study Audio Machine Learning jobs? Cities with the most Work Study Audio Machine Learning job openings:
What are the most commonly searched types of Audio Machine Learning jobs? The most popular types of Audio Machine Learning jobs are:
What states have the most Work Study Audio Machine Learning jobs? States with the most job openings for Work Study Audio Machine Learning jobs include:
Work Study Audio Machine Learning jobs near you
Infographic showing various Work Study Audio Machine Learning job openings in the United States as of May 2026, with employment types broken down into 4% Full Time, and 96% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $84,456 per year, or $40.6 per hour.
Machine Learning Audio Intern

Machine Learning Audio Intern

Syntiant

Redwood City, CA

Temporary

Posted 25 days ago

Job description

Summary Description:

Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a Machine Learning Audio Intern to take on a critical role to enhance our AI Model for Turkey Gobble Synthesis.

Syntiant Corp. is seeking a turkey gobble detector AED model that runs on NDP chips. It is difficult to collect good quality gobble data due to several logistical issues. As of now, only ~2K samples are available for training such a model. These samples are not enough to train a production quality turkey gobble model.

EcoGen is a neural network model that could generate synthetic but real-sounding bird sounds. It needs only a handful of recordings to synthesize similar sounds. The idea is to leverage this model to get more data for training a better turkey gobble detector AEDmodel. For details on EcoGen, please refer to the hyperlink provided. There are newer models such as BirdDiff, Audio LDM (Text-to-Turkey), Perch 2.0 etc.

Requirements

Specific Duties and Responsibilities:

  • Understanding the model architecture.
  • Running it locally or on the cluster.
  • Fine-tuning the model on the available turkey sounds.
  • Synthesizing real-sounding artificial turkey gobble sounds.
  • Explore better alternatives and pursue them.

Qualifications, Education, and Experience Required:

  • Candidate pursuing a Bachelor's or Master's degree in Computer Science or related field with hands-on experience in AI/ML model training.
  • Industry work experience is not required, but it would be good to have.

Benefits

About Syntiant:

Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company's purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world's leading strategic and financial investors including Intel Capital, Microsoft's M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.

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