Machine Learning Engineer
Core
Design, build, and scale production-ready AI-driven music experiences and generative products for artists and fans using large language models.
Role type
Senior IC machine learning engineer (generative audio/LLM)
Builds
AI music tools, generative listening experiences, and production ML pipelines
Domain
Music technology + Large Language Models (LLM)
Deliverable
production ML models | product features
Required skills
machine learning in production, large language models, prompt engineering, evaluation frameworks, LLM-as-judge pipelines, scalable data pipelines, cloud infrastructure, Python/Java/Scala
Preferred skills
conversational AI, generative user experiences, experimentation, cross-functional collaboration
Technologies
Python, Java, Scala, GCP, AWS, Azure
Responsibilities
Design and improve ML training and inference pipelines; build evaluation frameworks to measure quality; partner with music experts to curate training data; build scalable systems balancing experimentation and production rigor; collaborate with data science to connect evaluation with usage signals; contribute to technical direction and engineering best practices.
Seniority
Senior, hands-on IC