Machine Learning Engineer - Agentic solutions that move the music industry
Core
Build real-time ML systems to weaponize messy music rights data into structured intelligence for royalties recovery and IP registration.
Role type
Senior Machine Learning Engineer (Music Rights Infrastructure)
Builds
Real-time ML systems for royalties recovery and IP registration
Domain
Music technology / Rights management / Data infrastructure
Deliverable
production ML models
Required skills
Python, NLP, transformers, vector databases, LLM tooling (OpenAI, HuggingFace, LangChain, LangGraph), ML frameworks, ML inference/serving engines, modern ML system architectures
Preferred skills
Music metadata experience, fintech data experience, 0-to-1 building skills
Technologies
Pinecone, Weaviate, Supabase Vector, Postgres, Vercel
Responsibilities
Build and deploy ML models for entity resolution, metadata matching, and data deduplication; Fine-tune and integrate LLMs for rights metadata extraction and workflow automation; Design and optimize vector search and embedding pipelines; Work with large messy datasets to clean music credits and PRO databases with AI
Seniority
Senior, hands-on IC