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Open nowPosted 557 days ago

Machine Learning Engineer - Agentic solutions that move the music industry

createbase2 open roles

Where
United States
Work mode
Remote
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Your applicationOpen nowMachine Learning Engineer - Agentic solutions that move the music industrycreatebase · United States

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  6. 52.7%60 days
This job: posted 557 days ago

The posting

Equity-Only | Remote (Pacific Time) | US Based Only / No Visa Sponsorship

CreateBase is building the next-generation music rights infrastructure—where metadata, royalties, and ownership tracking work like they should. At the core of this? Clean data. Smart automation. And applied machine learning.

We’re looking for a Machine Learning Engineer to help us weaponize messy rights data into structured, actionable intelligence. You’ll work directly with the founding team to build real-time ML systems that power royalties recovery and IP registration at scale.

This is an early, equity-only role—with cash compensation coming post-raise. It’s a rare opportunity to shape the ML foundation of a product already making waves in music tech.

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

Please send your resume, cover letter, and a link to your portfolio or GitHub repository showcasing relevant projects. In your cover letter, describe your experience with music and entertainment technologies, and your vision for applying AI in these domains.

Join CreateBase and be part of a pioneering team dedicated to revolutionizing the music and entertainment industry through artificial intelligence. We look forward to hearing how you can contribute to our mission!

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