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Freelance Audio Machine Learning Jobs (NOW HIRING)

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 ...

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 ...

Machine Learning Engineer

Chantilly, VA · On-site

$200K - $240K/yr

Description SAIC is seeking a skilled Machine Learning Engineer to design, develop, and deploy ... Audio engineering/digital processing (DSP) familiarity * Kubernetes familiarity * Rancher

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 ...

Design, develop, and deploy deep-learning-based and classical DSP audio algorithms for our SPU ... Desired Skills and Experience Deep learning, Machine learning, DSP, Python, PyTorch Benefits ...

Senior Machine Learning Engineer

Manhattan, NY · On-site

$133K - $176K/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 ...

Senior Machine Learning Engineer

Manhattan, NY · On-site

$133K - $176K/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 ...

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 ...

WI · On-site

$110 - $180/hr

Your role on our team As a Machine Learning Engineer, you will be a hands-on leader tasked with ... audio/video processing * Proficient developing and debugging code in an embedded environment in a ...

Staff Machine Learning Engineer

Austin, TX · On-site +1

$208K - $255K/yr

Jeppesen ForeFlight is seeking a Senior Machine Learning Engineer to help build and scale domain-specialized automatic speech recognition (ASR) systems for aviation and operational audio workflows.

Showing results 21-40

Freelance Audio Machine Learning information

See salary details

$64K

$70K

$74.5K

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

As of Aug 12, 2026, the average yearly pay for freelance audio machine learning in the United States is $70,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $72,500.00 per year, depending on experience, location, and employer.

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

AspectFreelance Audio Machine LearningFreelance Audio Signal Processing
Required SkillsMachine learning, programming, audio analysisDigital signal processing, audio engineering, software tools
Work EnvironmentData analysis, model development, algorithm designAudio editing, filtering, signal enhancement
Common EmployersTech companies, startups, research labsAudio production houses, broadcasting, music industry
CertificationsMachine learning, data science, programming certificationsAudio engineering, DSP certifications

Freelance Audio Machine Learning focuses on developing algorithms and models to analyze and interpret audio data using machine learning techniques. In contrast, Freelance Audio Signal Processing involves applying traditional digital signal processing methods to enhance or modify audio signals. Both roles require technical expertise but differ in their core methods and applications.

More about Freelance Audio Machine Learning jobs
What cities are hiring for Freelance Audio Machine Learning jobs? Cities with the most Freelance 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 Freelance Audio Machine Learning jobs? States with the most job openings for Freelance Audio Machine Learning jobs include:
What job categories do people searching Freelance Audio Machine Learning jobs look for? The top searched job categories for Freelance Audio Machine Learning jobs are:
Infographic showing various Freelance Audio Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $70,000 per year, or $33.7 per hour.

Full-time

Posted 7 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services


Job description

SAIC is seeking a skilled Machine Learning Engineer to design, develop, and deploy machine learning (ML) models tailored to diverse applications, while delivering innovative solutions under tight deadlines. The ideal candidate will possess expertise in Docker and containerization, with the ability to build and deploy ML models and tools in offline, standalone environments.

Key Responsibilities:

  • Research and evaluate open-source ML models, fine-tuning them to meet specific operational needs
  • Design and develop custom Python-based applications (desktop and web-based) for hosting ML models
  • Experience with web-based platforms such as ComfyUI, Gradio, and Streamlit is preferred
  • Apply a solid understanding of digital signal processing (DSP) to build effect chains that transform signals to achieve desired outcomes
  • Provide rapid responses to evolving operational requirements, executing agile development to deliver customized solutions
  • Collaborate with a multidisciplinary team to address mission-critical objectives through innovative approaches
  • Leverage data science techniques to evaluate datasets, identify trends, and inform decision-making

Required Skills & Experience:

  • Proficiency in Docker for building and managing containers
  • Strong knowledge of Python programming with a focus on ML application development
  • Familiarity with DSP techniques and their practical application in signal transformation
  • Experience developing and hosting ML models using both desktop and web-based interfaces
  • Ability to work effectively in a fast-paced environment, responding to ad-hoc requests with innovative problem-solving

Join our dynamic team to contribute cutting-edge ML solutions for high-impact projects. Your work will directly support critical mission operations in a challenging, fast-evolving environment.

SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required:

  • Must be a US Citizen
  • Must have an active TS/SCI with Poly clearance
  • Bachelor's degree in computer science, math, data science or another technical/scientific field
  • Expertise with Python
    • ML Frameworks (pytorch, tensorflow, onnx)
    • Model hosting frameworks (ComfyUI, steamlit, gradio, FastAPI)
    • Data science libraries (Pandas, Numpy, SciKit-learn, Scipy, matplotlib/seaborn)
    • App Dev Frameworks (PyQt, tkinter)
  • Experience with Docker
  • Familiarity with Linux
  • Familiarity with Windows OS
  • Experience with version control software (Git)

Desired:

  • Audio hardware familiarity
  • Audio engineering/digital processing (DSP) familiarity
  • Kubernetes familiarity
    • Rancher
    • Longhorn
    • ArgoCD
  • Matlab
  • C++ (Cython wrapper around C++ application)

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