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Freelance Audio Machine Learning Jobs (NOW HIRING)

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...

Machine Learning Engineer

Somerville, MA · On-site

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.) * Experience with ...

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

Design, train, evaluate, and deploy machine learning models across text, image, audio, and multimodal domains. * Develop and improve classification systems for safety, security, abuse detection, and ...

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.) * Experience with ...

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.) * Experience with ...

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

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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 Jul 17, 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:
Machine Learning Engineer

$90K - $110K/yr

Other

Posted 10 days ago


Job description

Job Title
Machine Learning Engineer
Salary
$90,000 - $110,000
Job Classification
Salaried
Location
Cheyenne, WY 82001 US
Fort Collins, CO 80527 US
Laramie, WY 82072 US (Primary)
US
Job Type
Regular
# of Hires Needed
1
Application Deadline
Job Description
Western EcoSystems Technology, Inc. (WEST) is a dynamic medium-size consulting firm with offices across the United States and Canada. We are looking for a full-time Machine Learning Engineer to join our team. WEST has a permanent core of professionals with broad experience in applied ecological studies, the sophisticated analysis of natural resource data, and impact assessment and permitting. Since its founding in 1990, the WEST team has shaped our work through our core values and key principles that our work matters to our clients, communities, and the environment. Join WEST and discover a company of passionate, committed, and highly motivated individuals.
The Machine Learning team specializes in wildlife monitoring solutions using cutting-edge technology. We develop end-to-end systems for processing and analyzing ecological data, including camera trap imagery, drone footage, and audio data. We focus on delivering practical, deployable solutions that support real-world conservation and monitoring efforts.
Example projects include:
  • Species classification and individual re-identification of wildlife from camera trap images
  • Habitat and vegetation classification from drone footage
  • Animal tracking and behavior analysis from video collar footage

Please click here to see what benefits WEST offers!
The minimum base salary for this position is $90,000 and the maximum is $110,000, plus additional annual profit-sharing bonus potential. Salary may vary based on education, knowledge, and experience.
Location is flexible, although a location in the Fort Collins, CO, Laramie, WY, or Cheyenne, WY office is preferred
Job Description
We are seeking a talented and experienced Machine Learning Engineer to join our team. In this role, you will collaborate with Machine Learning Data Scientists to train machine learning models and create robust, scalable pipelines and software tools that can be used by internal teams and external clients. Projects often involve deploying models across a variety of environments, including cloud, on-premise, and field-based systems (e.g., drones or edge devices). This role is ideal for someone who enjoys building complete solutions, working with real-world data, and solving engineering challenges in applied computer vision.
Key Responsibilities:
Machine Learning Systems & Engineering
  • Design and implement end-to-end ML pipelines, including data ingestion, preprocessing, model inference, and results delivery
  • Develop reusable software tools and workflows that support internal teams and client-facing deliverables
  • Build systems that integrate model predictions into downstream analysis, reporting, or visualization pipelines

Deployment & Productionization
  • Deploy machine learning models across diverse environments, including cloud, on-premise, and edge/field systems
  • Optimize models and pipelines for performance, reliability, and resource constraints (e.g., memory, compute, bandwidth)
  • Ensure systems are maintainable and reproducible, including versioning of data, models, and code

Data & Model Development
  • Conduct data preprocessing, QA/QC, and dataset management for ML workflows
  • Develop and evaluate computer vision models, with attention to real-world challenges such as noisy labels, class imbalance, and domain shift
  • Iterate on model and pipeline performance based on testing and deployment feedback

Collaboration & Communication
  • Collaborate with data scientists, engineers, and domain experts (e.g., ecologists, remote sensing specialists) to design effective solutions
  • Communicate technical concepts, system limitations, and results to both technical and non-technical stakeholders
  • Contribute to technical reports, project proposals, and client deliverables

Operational Ownership
  • Support debugging and monitoring of deployed systems, including identifying issues in data, models, or infrastructure
  • Contribute to team best practices around code quality, testing, and reproducibility

This is a general description of the functions for this position and is not inclusive of the duties which may be associated with this position.
Job Requirements
Qualifications:
  • Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field, or Bachelor's with relevant work experience.
  • Proficient in Python and PyTorch, experience in C# preferred
  • Experience deploying ML models in resource-constrained or field environments (e.g., edge devices, drones, embedded systems)
  • Experience building user-facing tools, APIs, or automated workflows for ML systems
  • Experience with remote sensing, drone imagery, or ecological/biological datasets
  • Familiarity with cloud platforms, distributed processing, or large-scale data pipelines, especially Azure ML
  • Experience working on interdisciplinary teams involving scientists or domain experts
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Excellent interpersonal and human relations skills.

After an offer of employment is made, the candidate must successfully pass a pre-employment background check, drug screening, and a DMV records check that meets WEST's minimum criteria to operate a motor vehicle on behalf of the company. A valid driver's license will be required.
WEST provides equal employment opportunities to all individuals regardless of their race, color, religion, gender identity or expression, age, sex, sexual orientation, national origin, disability status, genetics, and any protected veteran status, and any other characteristic protected by federal, state or local law. Further, WEST takes affirmative action to ensure that all individuals are treated fairly, and without discrimination, for recruitment, selection, advancement and every other term and privilege associated with employment.
Education
Bachelor's Degree
Salary Grade
Exemption Type
Exempt