Music Innovation Engineer

5 days ago


Brisbane, Queensland, Australia beBeeOpportunity Full time $120,000 - $150,000
Machine Learning Specialist PositionAbout Splash:

We are a pioneering organization that makes music creation accessible to everyone. Our mission is to develop tools that empower young creators and music enthusiasts, by leveraging the intersection of artificial intelligence and music.

We are backed by leading investors and expanding rapidly, assembling a diverse team of musicians, engineers, and creatives who share our passion for shaping the future of music and AI.

About the Role

As a Machine Learning Specialist, you will leverage off-the-shelf tools and custom-built models to solve challenges in music product development and enhance manual music processes. This role requires a strong focus on practical solutions and software development.

  • Design and implement machine learning algorithms to improve music creation tools and solve user problems aligned with product goals.
  • Identify and implement efficient machine learning and AI tools to tackle various challenges.
  • Understand production requirements, including domain shift testing, QA, A/B testing, and more.
  • Maintain production-ready code, considering how solutions fit the product and enhance the user experience.
  • Build scalable data pipelines to handle audio and unstructured data. Collaborate with Product and Engineering teams to integrate ML solutions seamlessly into production systems.
  • Evaluate, deploy, and fine-tune pre-trained models for tasks like audio analysis, melody generation, and process automation.
  • Prioritize responsible AI practices, ensuring fairness and ethical use in music-related applications.
Requirements

- Proven software development expertise, preferably in Python (other languages a plus). Experience implementing and deploying machine learning 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.

- 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 and bring new ideas to the team.

- Clear communication with technical and non-technical stakeholders.

- Ability to work independently and remotely while collaborating closely with cross-functional teams.

Benefits

- Work directly with industry experts from renowned companies.

- Be part of an innovative team redefining music creation and interaction.

- Small, dynamic team backed by leading investors.

- Flexible work arrangements, working remotely with a global team.

The opportunity to contribute to cutting-edge music technology.

Our Commitment to Diversity, Equity, and Inclusion

Music has the incredible ability to bridge divides and bring people together, regardless of their background or identity. Like the industry we operate within, diversity, equity, and inclusion are at the heart of everything we do. We actively seek out and welcome voices from all backgrounds, believing diverse perspectives fuel creativity and drive success.



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