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Remote Music Technology Jobs (NOW HIRING)

Apex Informatics

Machine Learning Engineer

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical ... or audio technology processes (or a strong interest in music) • Familiarity with GenAI ...

Avispa Technology

Campaign Developer

Manhattan, NY · On-site +1

$70 - $80/hr

Leading music streaming company (Remote, Open to candidates located in the United States, EST or CST zones). * W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL * 40 ...

Avispa Technology

Campaign Developer

Manhattan, NY · Remote

$70 - $80/hr

Leading music streaming company (Remote, Open to candidates located in the United States, EST or CST zones). * W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL * 40 ...

GoTab

Deployment Tech

$70K - $85K/yr

You will primarily provide remote installation support for customers who will be deploying GoTab ... music venues, and event spaces. Technical Deployment & Installation (30%) * Lead technical ...

New

Overstory

Chief Technology Officer

We're outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers. What unites us ... Our product sits at the intersection of AI and remote sensing - fields evolving at light speed. The ...

Feed Media Group

Engineering Manager

$150K - $200K/yr

Ready to drive innovation at the intersection of music and technology? Join FMG today. Overview We ... Remote company * Competitive salary * Equity * Comprehensive health, dental, vision and disability ...

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Remote Music Technology information

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$30.5K

$57.7K

$121.5K

How much do remote music technology jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote music technology in the United States is $57,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $64,000.00 per year, depending on experience, location, and employer.

What is a remote music technology?

A Remote Music Technology job involves working with audio software, hardware, and digital tools to create, produce, edit, or manage music content from a remote location. Professionals in this field may work as sound engineers, music producers, software developers, or technical support specialists, collaborating with artists and teams online. These roles often require proficiency in digital audio workstations (DAWs), music production software, and a solid understanding of audio engineering principles. The remote aspect allows for flexibility and the ability to work with clients or companies worldwide.

How does a remote music technology professional typically collaborate with artists and other team members given the virtual nature of the role?

Remote Music Technology professionals often use a suite of digital tools to collaborate effectively with artists, producers, and other team members. This can include cloud-based DAWs, file-sharing platforms, and real-time communication tools like Zoom or Slack. Regular virtual meetings and clear project management processes help ensure everyone stays aligned on project goals and deadlines. While working remotely can present challenges such as time zone differences and occasional technical issues, strong organizational skills and proactive communication are key to successful collaboration in this environment.

What are the key skills and qualifications needed to thrive as a remote music technology specialist, and why are they important?

To excel as a Remote Music Technology Specialist, you need a solid understanding of audio engineering, digital music production, and familiarity with music theory, often supported by a degree or certification in music technology. Proficiency with digital audio workstations (DAWs) like Ableton Live, Logic Pro, or Pro Tools, as well as knowledge of audio plugins and remote collaboration tools, is typically required. Strong communication, self-motivation, and problem-solving abilities help individuals stand out in remote and collaborative environments. These skills and qualities are essential for delivering professional audio results, managing projects efficiently, and collaborating effectively in a virtual setting.

What is the difference between Remote Music Technology vs Remote Audio Engineering?

AspectRemote Music TechnologyRemote Audio Engineering
Required CredentialsMusic production certifications, audio software proficiencyAudio engineering certifications, sound design skills
Work EnvironmentHome studios, digital collaboration platformsRemote mixing, mastering, and sound editing setups
Employer & Industry UsageMusic labels, production companies, independent artistsRecording studios, broadcasting, live event companies
Common Search & Comparison IntentUnderstanding roles in music productionDistinguishing audio post-production jobs

Remote Music Technology focuses on creating, producing, and manipulating music using digital tools, often involving composition and sound design. Remote Audio Engineering emphasizes technical sound work like mixing, mastering, and editing audio recordings. While both roles require audio software skills and industry knowledge, Remote Music Technology leans more toward music creation, whereas Remote Audio Engineering centers on refining and finalizing audio content.

More about Remote Music Technology jobs

What cities are hiring for Remote Music Technology jobs?

Cities with the most Remote Music Technology job openings:

What are the most commonly searched types of Music Technology jobs?

The most popular types of Music Technology jobs are:

What states have the most Remote Music Technology jobs?

States with the most job openings for Remote Music Technology jobs include:

What job categories do people searching Remote Music Technology jobs look for?

The top searched job categories for Remote Music Technology jobs are:

Remote Music Technology jobs near you
Infographic showing various Remote Music Technology job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $57,731 per year, or $27.8 per hour.

Machine Learning Engineer

Apex Informatics

Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Applied Machine Learning Engineer | Music Software (Multiple Roles open)
Role: Applied Machine Learning Engineer (Mid - Senior Opportunity) Company: Splash
Employment Type: Contract (3 months +, potential for extension) Location: Remote
We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to work on both open-ended research problems and production-ready API code). In this role, you'll leverage off-the-shelf tools and custom-built ML models to solve challenges in music product development and improve manual music processes. This position is ideal for engineers with demonstrable experience building functional, production-ready models and who are passionate about user experience and Product.
Key Responsibilities:
• Design and implement ML algorithms to enhance music creation tools and solve various user problems in line with product goals.
• Identify and implement off-the-shelf ML and AI tools to solve practical problems efficiently.
• Understand the requirements of running models in production, including domain shift testing, QA, A/B testing and so on.
• Maintain production-ready code with considerations for how solutions fit the product and enhance the user experience.
• Build scalable, maintainable data pipelines to handle audio and other unstructured data.
• Collaborate with Product and Engineering teams to ensure seamless integration of ML solutions into production systems.
• Evaluate, deploy, and fine-tune pre-trained models for tasks like audio analysis, melody generation, and process automation.
• Uphold ethical AI practices, ensuring fairness and responsible AI use in music-related applications.
What You Bring
• Proven software development experience, ideally in Python (other languages a plus).
• Experience implementing and deploying ML models, using PyTorch framework.
• Familiarity with AWS cloud environment for deploying and scaling ML solutions.
• Ability to preprocess and model unstructured data, especially audio.
• A strong focus on applied problem-solving, with a practical approach to integrating existing tools and systems.
• A good understanding of music, production, or audio technology processes (or a strong interest in music)
• Familiarity with GenAI architectures like transformers, LLMs, or diffusion models.
• Proactive nature, ability to creatively solve problems you face and bring new ideas to the team.
• Clear and effective communication with technical and non-technical stakeholders.
• Ability to work independently and remotely while collaborating closely with cross-functional teams.

Apply