Role overview
We are building CreateOS — a next-generation operating system for modern record labels — and AI is at the center of it. As a Machine Learning Engineer, you will be a core builder on the team responsible for designing, training, deploying, and maintaining the ML systems that power intelligent automation, forecasting, anomaly detection, and agentic workflows across the platform.
This is a hands-on engineering role for someone who is equally comfortable prototyping a new model and shipping it to production. You will work directly with the VP of AI & ML Engineering and partner closely with Data Engineering, Analytics, and Product to move AI from experimentation into reliable, scalable production systems embedded in real user workflows.
Your immediate impact will be on three of CMG's highest-priority AI initiatives: M&A catalog valuation forecasting, AI-driven A&R discovery, and marketing automation agents — each directly tied to revenue growth and competitive differentiation.
*Responsibilities
Applied Machine Learning**
- Build and maintain ML models for forecasting, anomaly detection, classification, ranking, and optimization across music industry use cases (catalog valuation, royalty reasoning, A&R intelligence, marketing performance, etc.)
- Partner with Analytics & BI to identify, engineer, and validate features that drive meaningful predictive power
- Own the full ML lifecycle — from problem framing and data exploration through training, evaluation, deployment, and monitoring
What we're looking for
- MS in Machine Learning, Data Science, Business Analytics, Computer Science, Statistics, or a related quantitative field — candidates using this role as their entry point into ML engineering are encouraged to apply; OR 4+ years of experience as an ML Engineer or Applied Data Scientist in lieu of an advanced degree
- Experience at a startup or high-growth technology company where you owned features end-to-end
- Familiarity with agentic frameworks (LangChain, LangGraph, AutoGen, or similar)
- Background in music, media, entertainment, or rights/royalties data
- Experience with ontology design, knowledge graphs, or semantic data modeling
- Contributions to open-source ML projects or published research
- Familiarity with AI evaluation practices — hallucination detection, bias auditing, model explainability
In accordance with the Los Angeles County Fair Chance Ordinance, we will consider employment for qualified applicants with criminal histories. We evaluate candidates based on their qualifications and the nature of the offense in relation to the job for which they are applying.