Building and deploying ML pipelines into production that power real creator workflows
Scaling ML research into products used by millions of artists and producers
Leading your own research initiatives from idea → prototype → production
Optimizing, improving, and maintaining high-performance ML systems
Working daily in a small, highly collaborative team across Product, Engineering, and ML
Contributing to the next generation of AI-driven music creation tools

Requirements

PhD (or equivalent experience) in Machine Learning, especially around building and deploying ML models in scalable production environments
Demonstrated experience shipping ML features that are actively used by customers, not just prototypes or notebooks
Experience training, evaluating, and deploying models end-to-end (data preprocessing → training → validation → inference → monitoring)
Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX)
Experience designing scalable inference systems (batch and/or real-time) and optimizing for latency, throughput, and cost
Familiarity with distributed training, model versioning, experiment tracking, and reproducible pipelines

Benefits

Elite Tier Benefits Program - generous contributions towards medical, dental, and vision for employees and dependents
401(k) Matching
FSA/HSA
20 PTO days (+5 Days at 4 years tenure) and routine sick days
10 Company Observed Holidays + 2 Floating Holidays
8 weeks of parental leave paid at 100%
Company-sponsored Short Term Disability and Basic Life Insurance
Voluntary Benefits (LTD, Additional Life, and 401k)
Flexible work hours
$70/month tech reimbursement
$30/month wellness reimbursement
Virtual social events and a sense of community (even online)
Global Recognition and Anniversary Program
Plenty of opportunities while we grow and scale in a global environment
Access to On-Demand Learning Platform

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Machine LearningML pipelinesPythonPyTorchTensorFlowJAXdata preprocessingmodel evaluationmodel deploymentscalable inference systems

Soft Skills

collaborationleadershipinitiative

Certifications

PhD in Machine Learning