Senior ML Engineer - Production AI Systems

UMG Recordings; Santa Monica (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

UMG Recordings in Santa Monica, CA seeks a Lead Machine Learning Engineer to build, ship, and operate reliable ML systems that power revenue forecasting, artist intelligence, and rights management.

You will own production ML workflows, collaborate with ML scientists, data engineers, product managers, designers, labels, and other partners to deploy robust, cost-efficient AI capabilities and ensure observability, monitoring, and compliance.

Qualifications

• Bachelor's degree in CS, engineering, or related field.
• 5+ years in software, ML, data, or platform engineering with ownership of production systems.
• Experience with modern AI systems including LLM-based workflows, retrieval, grounding, and safety controls.
• Strong Python and software engineering skills with testing and version control.

Responsibilities

• Lead ML Ops and production infrastructure from problem framing to deployment, monitoring, and continued adoption.
• Build and operate ML/LLM workflows with retrieval, grounding, and tool integrations; enable real-time or batch inference and safe rollback.
• Develop data pipelines from streaming and catalog sources; support time-series forecasting and anomaly detection.
• Collaborate with ML scientists, data engineers, product managers, designers, and labels to move AI capabilities from prototype to production.

Skills

Python

ML engineering

Data pipelines

Production systems

Education

Bachelor's degree in CS/Engineering

Tools

GCP

BigQuery

Vertex AI

CI/CD

Job description

UMG Recordings in Santa Monica, CA seeks a Lead Machine Learning Engineer to build, ship, and operate reliable ML systems that power revenue forecasting, artist intelligence, and rights management.

You will own production ML workflows, collaborate with ML scientists, data engineers, product managers, designers, labels, and other partners to deploy robust, cost-efficient AI capabilities and ensure observability, monitoring, and compliance.