Machine Learning Engineer - Agentic solutions that move the music industry

Responsibilities

• Build and deploy ML models for entity resolution, metadata matching, and data deduplication
• Fine-tune and integrate LLMs for rights metadata extraction, natural language matching, and workflow automation
• Design and optimize vector search + embedding pipelines (e.g. Pinecone, Weaviate, or Supabase Vector)
• Work with large messy datasets—music credits, DSP metadata, ISRCs, PRO databases—and clean them with AI
• Collaborate across product and engineering to make ML outputs visible, usable, and reliable in production

Requirements

• 3+ years full stack backend experience, building Machine learning solution in production environments
• Strong Python skills with real-world experience in NLP, transformers, and vector databases
• Hands-on experience with OpenAI, HuggingFace, LangChain, LangGraph, or similar LLM tooling
• Experience on ML frameworks, ML compiler, or modern ML system architectures and heterogeneous runtime systems/ML inference/serving engine.
• Familiarity with Supabase, Postgres, Vercel, and modern infra workflows
• M.S. or PhD in CS, EE, Deep Learning or a related field. Bonus:
• Experience with music metadata, fintech data, or rights-related data structures
• Strong business mindset and 0-to-1 building skills working in a startup environment

What We Offer

• Competitive early stage equity, transitioning to cash compensation post-fundraise
• A vibrant and innovative work environment where creativity meets technology.
• The opportunity to work on groundbreaking projects at the forefront of AI in music and entertainment.

How to Apply