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Audio Engineer Jobs in Fairfield, CT (NOW HIRING)

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 ...

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 ...

The Production/Broadcast Engineer will be responsible for providing front-line broadcast ... Proficiency with broadcast production systems and software, including audio consoles, intercom ...

IVCI is a leader in the Audio Visual Integration industry. We provide solutions to corporate ... Engineers, and subcontracted crews to ensure successful, on-time, and on-budget delivery.Job Duties:

Odyssey Reinsurance Company (OdysseyRe) is the global reinsurance arm of Odyssey Group, one of the world's leading providers of reinsurance and specialty insurance. OdysseyRe offers a broad range of ...

Job Summary : Odyssey Reinsurance Company (OdysseyRe) is a leading provider of reinsurance and specialty insurance. They are seeking an experienced AV Technician to support the audiovisual technology ...

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Showing results 1-20

Audio Engineer information

See Fairfield, CT salary details

$30.1K

$86.1K

$174.9K

How much do audio engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for audio engineer in Fairfield, CT is $86,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $115,200.00 per year, depending on experience, location, and employer.

What is the difference between Audio Engineer vs Sound Technician?

AspectAudio EngineerSound Technician
CredentialsAudio engineering degree or certification, technical trainingTechnical training, sometimes on-the-job experience
Work EnvironmentRecording studios, live events, post-productionLive events, concerts, theater productions
Industry UsageMusic, film, broadcasting, live soundConcerts, theater, events, live sound reinforcement

While both roles involve working with sound, Audio Engineers focus on recording, mixing, and mastering audio in studios or post-production, whereas Sound Technicians primarily handle live sound setup and operation during events. The roles often overlap but differ mainly in their work environment and specific responsibilities.

What jobs can an audio engineer do?

An audio engineer can work in various roles such as recording engineer, live sound technician, mixing engineer, mastering engineer, broadcast engineer, and sound designer. They typically operate audio equipment, use digital audio workstations, and may work in studios, concert venues, film production, or broadcasting environments.

Do audio engineers get paid well?

Audio engineers can earn a wide range of salaries depending on experience, location, and industry. Entry-level positions often pay modestly, while experienced professionals working in high-demand areas or specialized fields can earn higher wages, with some reaching six figures. Skills in mixing, mastering, and familiarity with industry-standard software can also influence earning potential.

What does an audio engineer do?

An Audio Engineer is responsible for recording, mixing, and mastering sound for various media, including music, film, television, and live events. They operate and maintain audio equipment, ensure high-quality sound production, and often collaborate with producers, musicians, and other technical staff. Their work can involve setting up microphones, adjusting sound levels, editing audio tracks, and troubleshooting technical issues. Audio Engineers play a crucial role in achieving the desired sound for a project.

How does an audio engineer typically collaborate with producers and artists during a recording session?

Audio engineers work closely with producers and artists to ensure the vision for each project is realized. During recording sessions, they set up and operate audio equipment, offer technical advice, and make real-time adjustments based on feedback. Communication is key, as engineers often interpret creative ideas into technical solutions, ensuring clarity and quality in every take. This collaborative environment requires flexibility, quick problem-solving, and a strong understanding of both the artistic and technical aspects of sound production.

What are the key skills and qualifications needed to thrive as an audio engineer, and why are they important?

To thrive as an Audio Engineer, you need strong knowledge of sound theory, audio mixing, and recording techniques, often supported by a degree or certification in audio engineering or a related field. Proficiency with digital audio workstations (DAWs) such as Pro Tools or Logic Pro, audio interfaces, and studio equipment is crucial. Excellent attention to detail, problem-solving abilities, and effective communication skills set top professionals apart. These capabilities ensure high-quality sound production, smooth collaboration, and the ability to address technical challenges in dynamic audio environments.

What are the most commonly searched types of Audio Engineer jobs in Fairfield, CT?

The most popular types of Audio Engineer jobs in Fairfield, CT are:

What cities near Fairfield, CT are hiring for Audio Engineer jobs?

Cities near Fairfield, CT with the most Audio Engineer job openings:

Infographic showing various Audio Engineer job openings in Fairfield, CT as of August 2026, with employment types broken down into 70% Full Time, 10% Part Time, and 20% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $86,113 per year, or $41.4 per hour.

ML Engineer

Catalyst Labs

Greenwich, CT โ€ข On-site

Full-time

Re-posted 28 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:
โ€ข Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle from conception to deployment and maintenance.
โ€ข Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
โ€ข Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
โ€ข Build agents capable of operating natively on real-world audio inputs.
โ€ข Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
โ€ข Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
โ€ข Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
โ€ข Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
Qualifications:
Required:
โ€ข Bachelorโ€™s or Masterโ€™s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
โ€ข 1-6 years of professional experience in ML engineering.
โ€ข Strong programming skills in Python (TypeScript experience is a plus).
โ€ข Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
โ€ข Familiarity with cloud environments and infrastructure (preferably AWS).
โ€ข Strong understanding of data pipeline design, real-time inference, and model monitoring.
โ€ข Excellent communication skills with the ability to engage directly with customers and stakeholders.
โ€ข Proven experience building and deploying ML models into production environments.
โ€ข Demonstrated ability to own the full model lifecycle from data ingestion and model development to deployment and monitoring.
โ€ข Experience with audio-focused ML projects or similar domains involving unstructured data.
โ€ข Proficiency in building scalable data pipelines for model training and evaluation.
โ€ข Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
Preferred:
โ€ข Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
Company:
Welcome to Catalyst Labs โ€“ 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.