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Freelance Audio Machine Learning Jobs in Illinois

Catalyst Labs

ML Engineer

Chicago, IL · On-site

... Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while ...

Cna

Senior Data AI Engineer

Chicago, IL · On-site

$109K - $148K/yr

... machine learning solutions that accelerate CNA's migration to a modern cloud data lakehouse. The engineer works across structured and unstructured data domains - including documents, images, audio ...

Shure

Engineer II, Software

Niles, IL · On-site

$98K - $134K/yr

... audio, video, and collaboration solutions. As an Engineer II, Software , you will play a critical ... From developing advanced machine learning models and data-driven systems to optimizing algorithms ...

Shure

Engineer II, Software

Niles, IL

$98K - $134K/yr

... audio, video, and collaboration solutions. As an Engineer II, Software , you will play a critical ... From developing advanced machine learning models and data-driven systems to optimizing algorithms ...

Shure

Engineer II, Software

Niles, IL

$98K - $134K/yr

... audio, video, and collaboration solutions. As an Engineer II, Software , you will play a critical ... From developing advanced machine learning models and data-driven systems to optimizing algorithms ...

Shure

Engineer II, Software

Niles, IL

$98K - $134K/yr

... audio, video, and collaboration solutions. As an Engineer II, Software , you will play a critical ... From developing advanced machine learning models and data-driven systems to optimizing algorithms ...

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All JobsAudio Machine Learning JobsFreelance Audio Machine Learning JobsFreelance Audio Machine Learning Jobs in Illinois

Freelance Audio Machine Learning information

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.

What are the most commonly searched types of Audio Machine Learning jobs in Illinois? The most popular types of Audio Machine Learning jobs in Illinois are:
What are popular job titles related to Freelance Audio Machine Learning jobs in Illinois? For Freelance Audio Machine Learning jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Freelance Audio Machine Learning jobs in Illinois look for? The top searched job categories for Freelance Audio Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Freelance Audio Machine Learning jobs? Cities in Illinois with the most Freelance Audio Machine Learning job openings:
Freelance Audio Machine Learning jobs near you

ML Engineer

Catalyst Labs

Chicago, IL • On-site

Full-time

Re-posted 14 days ago

Job description

Job Summary:
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to drive innovation in AI applications.
Responsibilities:
• Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle from conception to deployment and maintenance.
• Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
• Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
• Build agents capable of operating natively on real-world audio inputs.
• Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
• Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
• Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
• Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 1-6 years of professional experience in ML engineering.
• Strong programming skills in Python (TypeScript experience is a plus).
• Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
• Familiarity with cloud environments and infrastructure (preferably AWS).
• Strong understanding of data pipeline design, real-time inference, and model monitoring.
• Excellent communication skills with the ability to engage directly with customers and stakeholders.
• Proven experience building and deploying ML models into production environments.
• Demonstrated ability to own the full model lifecycle from data ingestion and model development to deployment and monitoring.
• Experience with audio-focused ML projects or similar domains involving unstructured data.
• Proficiency in building scalable data pipelines for model training and evaluation.
• Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
Preferred:
• Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
Company:
Welcome to Catalyst Labs – Powering Catalytic Growth At Catalyst Labs, catalytic growth isn't just a concept, it's our driving force. Founded in , the company is headquartered in London, GB, , with a team of 11-50 employees. The company is currently Early Stage.

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