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Entry Level Audio Machine Learning Jobs (NOW HIRING)

Syntiant

Machine Learning Audio Intern

Redwood City, CA · On-site

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 ...

Syntiant

Machine Learning Audio Intern

Redwood City, CA · On-site

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 ...

Apex Informatics

Machine Learning Engineer

Applied Machine Learning Engineer | Music Software (Multiple Roles open) Role: Applied Machine ... audio and other unstructured data. • Collaborate with Product and Engineering teams to ensure ...

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 ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...

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 ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...

Aivra Health LLC

$28 - $45/hr

This role is ideal for students or entry level candidates in STEM fields who are passionate about building scalable machine learning models and deploying them into production environments. The intern ...

Aivra Health LLC

$28 - $45/hr

This role is ideal for students or entry level candidates in STEM fields who are passionate about building scalable machine learning models and deploying them into production environments. The intern ...

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 ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...

Roku

Software Engineer, Machine Learning

San Jose, CA

$135K - $185K/yr

You will explore Picture Quality (PQ) and Audio Quality (AQ) improvements using AI in a resource ... Hands-on experience with Machine Learning / Deep Learning frameworks like TensorFlow or PyTorch

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a ...

Hive

Machine Learning Engineer

San Francisco, CA

$120K - $180K/yr

You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a ...

MORSE Corp

Machine Learning Engineer

Seattle, WA

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role ... audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE ...

MORSE Corp

Machine Learning Engineer

Cambridge, MA · On-site

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role ... audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE ...

NxT Level

Senior Machine Learning Engineer

Manhattan, NY · On-site

$133.70K - $176.30K/yr

If you're excited about the future of video, audio, video content moderation, and more then you ... A degree in Computer Science, Machine Learning, or a related field, or equivalent professional ...

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All JobsEntry Level Audio Machine Learning Jobs

Entry Level Audio Machine Learning information

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$12

$17

$21

How much do entry level audio machine learning jobs pay per hour?

As of May 29, 2026, the average hourly pay for entry level audio machine learning in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Audio Machine Learning vs Entry Level Audio Signal Processing?

AspectEntry Level Audio Machine LearningEntry Level Audio Signal Processing
Required CredentialsBachelor's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Acoustics, or related; knowledge of DSP tools
Work EnvironmentTech companies, research labs, startups focusing on AI applications in audioAudio equipment manufacturers, telecommunications, research labs
Industry UsageDeveloping AI models for speech recognition, audio classification, sound analysisDesigning audio filters, signal enhancement, audio hardware integration

Entry Level Audio Machine Learning focuses on developing AI models for audio applications, requiring programming and ML skills. Entry Level Audio Signal Processing emphasizes traditional audio analysis and hardware integration, requiring DSP knowledge. Both roles are essential in the audio industry but differ in technical focus and tools used.

What are the most commonly searched types of Audio Machine Learning jobs? The most popular types of Audio Machine Learning jobs are:
What job categories do people searching Entry Level Audio Machine Learning jobs look for? The top searched job categories for Entry Level Audio Machine Learning jobs are:
Entry Level Audio Machine Learning jobs near you
Infographic showing various Entry Level Audio Machine Learning job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, 48% Part Time, and 2% Contract. Highlights an 69% Physical, and 31% Remote job distribution, with an average salary of $36,327 per year, or $17.5 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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