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Contract Audio Machine Learning Jobs (NOW HIRING)

Magnopus

Machine Learning Engineer II

Los Angeles, CA · On-site

$100K - $150K/yr

Magnopus is looking for a Machine Learning Engineer who thrives at the intersection of product ... Develop internal tools using ML to streamline workflows for production, art, animation, or audio ...

Magnopus

Machine Learning Engineer II

Los Angeles, CA

$100K - $150K/yr

Magnopus is looking for a Machine Learning Engineer who thrives at the intersection of product ... Develop internal tools using ML to streamline workflows for production, art, animation, or audio ...

Cymertek

Machine Learning Engineer

Aurora, CO

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...

Cymertek

Machine Learning Engineer

Chantilly, VA

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...

Cymertek

Machine Learning Engineer

Tysons, VA

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...

Cymertek

Machine Learning Engineer

Honolulu, HI

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...

Cymertek

Machine Learning Engineer

San Antonio, TX

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...

Cymertek

Machine Learning Engineer

Honolulu, HI · On-site

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...

Chabez Tech

Machine Learning Engineer

Portland, OR

Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level ... Machine Learning, Electrical Engineering, or related field • 5+ years of experience in machine ...

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All JobsContract Audio Machine Learning Jobs

Contract Audio Machine Learning information

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$30

$48

$99

How much do contract audio machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for contract audio machine learning in the United States is $48.93, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $50.72 per hour, depending on experience, location, and employer.

What is the difference between Contract Audio Machine Learning vs Contract Data Scientist?

AspectContract Audio Machine LearningContract Data Scientist
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with machine learning frameworksDegree in Data Science, Statistics, or related; strong programming skills
Work EnvironmentFocus on audio data, signal processing, and machine learning modelsBroader data analysis, statistical modeling, and data visualization
Industry UsageMedia, entertainment, speech recognition, audio analysisFinance, healthcare, marketing, and various industries requiring data insights

Contract Audio Machine Learning specialists focus on developing models specifically for audio data, while Contract Data Scientists handle a wider range of data types and analysis tasks. Both roles require strong technical skills, but their focus areas and industry applications differ.

More about Contract Audio Machine Learning jobs
What cities are hiring for Contract Audio Machine Learning jobs? Cities with the most Contract 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 Contract Audio Machine Learning jobs? States with the most job openings for Contract Audio Machine Learning jobs include:
What job categories do people searching Contract Audio Machine Learning jobs look for? The top searched job categories for Contract Audio Machine Learning jobs are:
Contract Audio Machine Learning jobs near you
Infographic showing various Contract Audio Machine Learning job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 95% Full Time, 3% Part Time, and 1% Contract. Highlights an 64% Physical, and 36% Remote job distribution, with an average salary of $101,781 per year, or $48.9 per hour.
Machine Learning Engineer II

Machine Learning Engineer II

Magnopus

Los Angeles, CA • On-site

$100K - $150K/yr

Other

Posted 19 days ago

Job description

Magnopus is looking for a Machine Learning Engineer who thrives at the intersection of product innovation, real-time systems, and creative collaboration. In this role, you won't just build models, you'll help define how machine learning transforms our projects and unlocks entirely new experiences.
You'll partner closely with product, project, engineering, and creative teams to identify high-impact opportunities for ML, rapidly prototype solutions, and bring them into production at scale. This is a hands-on role where strategic thinking meets deep technical execution.
Responsibilities
  • Work with teams and projects to develop and implement a machine learning (ML) strategy to enhance our workflows and content generation capabilities.
  • Educate the team on what is possible with ML.
  • Build pipelines and prepare data for tuning, training, and deployment of models optimized for targeted inference.
  • Partner with teams to prototype and test ML-powered features.
  • Develop internal tools using ML to streamline workflows for production, art, animation, or audio pipelines.
  • Define, deploy, and operate agentic solutions, including integrations with MCP servers, tool definitions, and swarms of agents.
  • Create agent friendly interfaces for our tools and processes.
  • Implement models and pipelines from academic publications.
  • Remain current with ML and real-time AI trends and ensure performance scalability across platforms.

Required Qualifications
  • 4+ years full time work experience in Machine Learning, Data Engineering or related quantitative field with a track record of delivering end-to-end ML products
  • Experience building training sets, fine tuning models, building agentic systems and building and operating ML pipelines
  • Strong communication skills, and able to give clear direction and provide constructive feedback
  • Professional experience working on live-service platforms/applications

Nice to Haves
  • Experience with near real-time inference systems in games or interactive applications
  • Familiarity with generative AI (e.g., text, image, audio, or animation models)
  • Background in game development or creative tooling
  • Experience optimizing models for performance on constrained hardware (mobile, console, etc.)
  • Knowledge of MLOps best practices, including CI/CD for ML systems
  • Experience implementing solutions contemplated in academic publications

$100,000 - $150,000 a year
Magnopus is an experience focused technology company founded by a team of Oscar-winning artists, designers, and engineers from games, films, and other unusual places. We're passionate about creating rich experiences that unite the physical and digital worlds.
Because we're building the future, we endeavor to create a diverse, creative workplace where people from many perspectives collaborate across disciplines to create amazing things together. We invest in our employee's progression with ongoing education and mentorship opportunities through their guilds, and support their happiness and productivity through generous health care, time off, and other benefits.
We try to foster a safe environment where we can take risks, and learn from our failures. While we value individual talents, we favor collaboration more. We believe that the leadership of the company works for the employees, not the other way around. We feel strongly that our employees guide who we are as a company and the work we create, so we look for characteristics of curiosity, empathy, respect, honesty, and courage in every candidate.
Though we've delivered a lot of crazy stuff, here are a few you can check out at home:
Mission: ISS
Disney Pixar Coco VR
Blade Runner 2049: Memory Lab
The Lion King - Virtual Production
Elixir
We may use artificial intelligence (AI) tools to support parts of the hiring process - for example, to transcribe interviews and generate summaries. These tools are not used to review applications or analyse resumes, and they do not replace human judgement. All hiring decisions are made by people. If you would like more information about how your data is processed, please contact us.

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