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Entry Level Music Software Developer Jobs (NOW HIRING)

Applied Machine Learning Engineer | Music Software (Multiple Roles open) Role: Applied Machine Learning Engineer (Mid - Senior Opportunity) Company: Splash Employment Type: Contract (3 months ...

Entry Level Software Engineer

Dubuque, IA · On-site

$65K - $90K/yr

... Entry Level Software Engineer This position is associated with the design and development of ... Integration of software in a multi-developer Agile team using Continuous Integration process.

... processes for production software * Collaborate with researchers and engineers to gather ... Monthly performance-based incentives averaging 10-15% at entry level - your potential is limitless!

Jr Software Developer

Scottsdale, AZ · On-site

$67.70K - $87.90K/yr

Experience: * 1-2 years of experience in software development (internships or entry-level roles acceptable). * Familiarity with programming languages such as C#, Python, JavaScript, or SQL.

... processes for production software * Collaborate with researchers and engineers to gather ... Monthly performance-based incentives averaging 10-15% at entry level - your potential is limitless!

Software developer roles and responsibilities include providing expertise in the full software ... Experience developing in an Agile environment Level: Entry Level - SME Clearance: Active security ...

Software developer roles and responsibilities include providing expertise in the full software ... Experience developing in an Agile environment Level: Entry Level - SME Clearance: Active security ...

Software developer roles and responsibilities include providing expertise in the full software ... Experience developing in an Agile environment Level: Entry Level - SME Clearance: Active security ...

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Entry Level Music Software Developer information

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$29.5K

$100.3K

$241.5K

How much do entry level music software developer jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level music software developer in the United States is $100,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $106,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Music Software Developer, and why are they important?

To thrive as an Entry Level Music Software Developer, you typically need a solid background in computer science fundamentals, programming languages such as C++, Java, or Python, and a basic understanding of digital audio concepts. Familiarity with digital audio workstations (DAWs), audio plugin frameworks (like JUCE or VST), and version control systems is often expected, while a degree in computer science or a related field can be beneficial. Creativity, problem-solving abilities, and effective collaboration skills are valuable soft skills in this role. These abilities are crucial for developing innovative music software solutions, working efficiently on development teams, and meeting the evolving needs of musicians and audio professionals.

What are some typical projects or tasks an entry level music software developer might work on during their first year?

As an entry level music software developer, you can expect to work on tasks such as debugging existing code, implementing small features or user interface improvements, and writing unit tests for audio processing modules. Often, you'll collaborate closely with senior developers, QA testers, and sometimes even musicians or sound designers to ensure the software meets both technical and creative needs. You'll also participate in code reviews, learn to use audio development tools, and may contribute to documentation or support troubleshooting efforts. This hands-on experience helps build a strong foundation for more advanced responsibilities in future roles.

What does an Entry Level Music Software Developer do?

An Entry Level Music Software Developer helps design, develop, and maintain software applications used in music creation, production, or playback. Their work may involve coding audio plugins, digital audio workstations, or music streaming tools under the guidance of senior developers. They often collaborate with musicians, sound engineers, and other software professionals to implement features and fix bugs. This role is ideal for those with a passion for both music and technology, and usually requires knowledge of programming languages such as C++, Python, or Java.

What is the difference between Entry Level Music Software Developer vs Entry Level Audio Software Engineer?

AspectEntry Level Music Software DeveloperEntry Level Audio Software Engineer
Required CredentialsBachelor's in Computer Science, Music Technology, or related fieldBachelor's in Electrical Engineering, Computer Science, or related field
Work EnvironmentMusic studios, software companies, gaming industryAudio hardware companies, multimedia firms, research labs
Industry UsageMusic production, game development, multimedia appsAudio hardware, signal processing, sound engineering

While both roles involve developing audio-related software, the Entry Level Music Software Developer focuses on creating applications for music production and entertainment, whereas the Entry Level Audio Software Engineer emphasizes hardware integration and signal processing. The choice depends on whether you prefer working on creative music tools or technical audio hardware solutions.

More about Entry Level Music Software Developer jobs
What are the most commonly searched types of Music Software Developer jobs? The most popular types of Music Software Developer jobs are:
Machine Learning Engineer

Other

Posted 2 days ago


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.