Artificial Intelligence Music Developer
1 week ago
About Us
Our organization is a leading investor in innovative technologies that pioneer the intersection of artificial intelligence and music creation.
Since 2017, we've been creating tools that empower young creators and music enthusiasts. Our experiences on platforms have inspired millions to engage with music in new ways.
We are expanding rapidly, assembling a diverse team of musicians, engineers, and creatives passionate about shaping the future of music and AI.
Job Description
We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development. 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.
Requirements
- 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.
Benefits
- Work directly with industry veterans from top companies in the field.
- Be part of a passionate, innovative team redefining music creation and interaction.
- Flexible work arrangements, working remotely with a global team.
- The opportunity to contribute to cutting-edge music technology.
Commitment to Diversity, Equity, and Inclusion
Our organization is committed to creating an inclusive environment where everyone feels valued, respected, and empowered. We actively seek out and welcome voices from all backgrounds and believe that diverse perspectives fuel our creativity and drive success.
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